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2020 – today
- 2024
[j83]Akash Mondal, Prashanth L. A., Shalabh Bhatnagar:
Truncated Cauchy random perturbations for smoothed functional-based stochastic optimization. Autom. 162: 111528 (2024)- [j82]Arghyadeep Barat
, Prabuchandran K. J., Shalabh Bhatnagar:
Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network. IEEE Commun. Lett. 28(1): 243-247 (2024) - [j81]Lakshmi Mandal, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Variance-Reduced Deep Actor-Critic With an Optimally Subsampled Actor Recursion. IEEE Trans. Artif. Intell. 5(7): 3607-3623 (2024) - [c87]Mizhaan Prajit Maniyar, Prashanth L. A., Akash Mondal, Shalabh Bhatnagar:
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. AISTATS 2024: 4708-4716 - [c86]Ashish Srivastava, Shalabh Bhatnagar, M. Narasimha Murty, Jagannathan Ramanujam:
Learning Dynamic Representations in Large Language Models for Evolving Data Streams. ICPR (5) 2024: 239-253 - [c85]V. P. Vivek, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Dynamic Energy Management in Competing Microgrids using Reinforcement Learning. ISGT 2024: 1-5 - [c84]Joji Joseph, Bharadwaj Amrutur, Shalabh Bhatnagar:
Segmentation of 3D Gaussians using Masked Gradients. SIGGRAPH Asia Posters 2024: 77:1-77:2 - [i85]Prashansa Panda, Shalabh Bhatnagar:
Critic-Actor for Average Reward MDPs with Function Approximation: A Finite-Time Analysis. CoRR abs/2402.01371 (2024) - [i84]Joji Joseph, Bharadwaj Amrutur, Shalabh Bhatnagar:
Gradient-Driven 3D Segmentation and Affordance Transfer in Gaussian Splatting Using 2D Masks. CoRR abs/2409.11681 (2024) - 2023
- [j80]Shalabh Bhatnagar, Vivek S. Borkar, Soumyajit Guin:
Actor-Critic or Critic-Actor? A Tale of Two Time Scales. IEEE Control. Syst. Lett. 7: 2671-2676 (2023) - [c83]Soumyajit Guin, Shalabh Bhatnagar:
A Policy Gradient Approach for Finite Horizon Constrained Markov Decision Processes. CDC 2023: 3353-3359 - [c82]Shalabh Bhatnagar, Prashanth L. A.:
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. CISS 2023: 1-6 - [c81]Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar:
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search. ICML 2023: 30130-30203 - [c80]Sambhu H. Karumanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
Autonomous UAV Navigation in Complex Environments using Human Feedback. RO-MAN 2023: 499-506 - [i83]Lakshmi Mandal, Shalabh Bhatnagar:
n-Step Temporal Difference Learning with Optimal n. CoRR abs/2303.07068 (2023) - [i82]Mizhaan Prajit Maniyar, Akash Mondal, Prashanth L. A., Shalabh Bhatnagar:
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. CoRR abs/2304.10951 (2023) - [i81]Arunselvan Ramaswamy, Shalabh Bhatnagar, Naman Saxena:
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks. CoRR abs/2305.12125 (2023) - [i80]Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar:
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search. CoRR abs/2305.12239 (2023) - [i79]Shalabh Bhatnagar:
The Reinforce Policy Gradient Algorithm Revisited. CoRR abs/2310.05000 (2023) - [i78]Arghyadeep Barat, Prabuchandran K. J., Shalabh Bhatnagar:
Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network. CoRR abs/2310.05911 (2023) - [i77]Prashansa Panda, Shalabh Bhatnagar:
Finite Time Analysis of Constrained Actor Critic and Constrained Natural Actor Critic Algorithms. CoRR abs/2310.16363 (2023) - [i76]Lakshmi Mandal, Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
Approximate Linear Programming and Decentralized Policy Improvement in Cooperative Multi-agent Markov Decision Processes. CoRR abs/2311.11789 (2023) - 2022
- [j79]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Analyzing Approximate Value Iteration Algorithms. Math. Oper. Res. 47(3): 2138-2159 (2022) - [j78]Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Generalized Second-Order Value Iteration in Markov Decision Processes. IEEE Trans. Autom. Control. 67(8): 4241-4247 (2022) - [j77]Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games. IEEE Trans. Autom. Control. 67(9): 4816-4823 (2022) - [c79]Rohan Deb, Shalabh Bhatnagar:
Gradient Temporal Difference with Momentum: Stability and Convergence. AAAI 2022: 6488-6496 - [c78]Rohan Deb, Meet Gandhi, Shalabh Bhatnagar:
Schedule Based Temporal Difference Algorithms. Allerton 2022: 1-6 - [c77]Priya Shanmugasundaram, Shalabh Bhatnagar:
Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks. ICAART (Revised Selected Paper 2022: 122-142 - [c76]Priya Shanmugasundaram, Shalabh Bhatnagar:
Robust Traffic Signal Timing Control using Multiagent Twin Delayed Deep Deterministic Policy Gradients. ICAART (2) 2022: 477-485 - [c75]Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel, Chandravaran Kunjeti, Himanshu Lodha, Aman Singh, Aditya Sagi, Shalabh Bhatnagar, Shishir Kolathaya:
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning. ICRA 2022: 1631-1637 - [c74]Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar:
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. IJCNN 2022: 1-10 - [c73]Ashish Kumar Jayant, Shalabh Bhatnagar:
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm. NeurIPS 2022 - [c72]Sindhu Padakandla, Prabuchandran K. J., Sourav Ganguly, Shalabh Bhatnagar:
Data Efficient Safe Reinforcement Learning. SMC 2022: 1167-1172 - [i75]Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar:
Reinforcement Learning for Task Specifications with Action-Constraints. CoRR abs/2201.00286 (2022) - [i74]Akash Mondal, Prashanth L. A., Shalabh Bhatnagar:
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization. CoRR abs/2208.00290 (2022) - [i73]Shalabh Bhatnagar, Vivek S. Borkar, Soumyajit Guin:
Actor-Critic or Critic-Actor? A Tale of Two Time Scales. CoRR abs/2210.04470 (2022) - [i72]Soumyajit Guin, Shalabh Bhatnagar:
A policy gradient approach for Finite Horizon Constrained Markov Decision Processes. CoRR abs/2210.04527 (2022) - [i71]Ashish Kumar Jayant, Shalabh Bhatnagar:
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm. CoRR abs/2210.07573 (2022) - [i70]Shalabh Bhatnagar, Prashanth L. A.:
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. CoRR abs/2212.10477 (2022) - 2021
- [j76]Prabuchandran K. J., Santosh Penubothula, Chandramouli Kamanchi, Shalabh Bhatnagar:
Novel First Order Bayesian Optimization with an Application to Reinforcement Learning. Appl. Intell. 51(3): 1565-1579 (2021) - [j75]Prasenjit Karmakar, Shalabh Bhatnagar:
On tight bounds for function approximation error in risk-sensitive reinforcement learning. Syst. Control. Lett. 150: 104899 (2021) - [j74]Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo:
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning. IEEE Trans. Autom. Control. 66(9): 3969-3983 (2021) - [j73]Prasenjit Karmakar, Shalabh Bhatnagar:
Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured. IEEE Trans. Autom. Control. 66(12): 5941-5954 (2021) - [j72]Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar:
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge. IEEE Trans. Intell. Transp. Syst. 22(1): 107-118 (2021) - [c71]P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Attention Actor-Critic Algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. AAMAS 2021: 1616-1618 - [i69]P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. CoRR abs/2101.02349 (2021) - [i68]Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar:
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. CoRR abs/2110.10017 (2021) - [i67]Vivek VP, Shalabh Bhatnagar:
Finite Horizon Q-learning: Stability, Convergence and Simulations. CoRR abs/2110.15093 (2021) - [i66]Rohan Deb, Shalabh Bhatnagar:
Gradient Temporal Difference with Momentum: Stability and Convergence. CoRR abs/2111.11004 (2021) - [i65]Rohan Deb, Meet Gandhi, Shalabh Bhatnagar:
Schedule Based Temporal Difference Algorithms. CoRR abs/2111.11768 (2021) - [i64]Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel, Chandravaran Kunjeti, Himanshu Lodha, Aman Singh, Aditya Sagi, Shalabh Bhatnagar, Shishir Kolathaya:
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning. CoRR abs/2112.02999 (2021) - [i63]Rohan Deb, Shalabh Bhatnagar:
N-Timescale Stochastic Approximation: Stability and Convergence. CoRR abs/2112.03515 (2021) - 2020
- [j71]Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar:
Reinforcement learning algorithm for non-stationary environments. Appl. Intell. 50(11): 3590-3606 (2020) - [j70]Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Successive Over-Relaxation ${Q}$ -Learning. IEEE Control. Syst. Lett. 4(1): 55-60 (2020) - [j69]Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar:
Generalized Speedy Q-Learning. IEEE Control. Syst. Lett. 4(3): 524-529 (2020) - [j68]Vinayaka G. Yaji, Shalabh Bhatnagar:
Stochastic Recursive Inclusions in Two Timescales with Nonadditive Iterate-Dependent Markov Noise. Math. Oper. Res. 45(4): 1405-1444 (2020) - [j67]Vinayaka G. Yaji, Shalabh Bhatnagar:
Analysis of Stochastic Approximation Schemes With Set-Valued Maps in the Absence of a Stability Guarantee and Their Stabilization. IEEE Trans. Autom. Control. 65(3): 1100-1115 (2020) - [j66]Prashanth L. A., Shalabh Bhatnagar, Nirav Bhavsar, Michael C. Fu, Steven I. Marcus:
Random Directions Stochastic Approximation With Deterministic Perturbations. IEEE Trans. Autom. Control. 65(6): 2450-2465 (2020) - [c70]Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar:
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). AAAI 2020: 13777-13778 - [c69]Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Varma, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach. CoRL 2020: 2257-2267 - [c68]Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
A Convergent Off-Policy Temporal Difference Algorithm. ECAI 2020: 1103-1110 - [c67]Indu John, Shalabh Bhatnagar:
Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources. IJCNN 2020: 1-6 - [c66]Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks. ISGT-Europe 2020: 116-120 - [c65]Sindhu Padakandla, Shilpa Rao, Shalabh Bhatnagar:
Learning-Based Resource Allocation in Industrial IoT Systems. PIMRC 2020: 1-7 - [c64]Sashank Tirumala, Sagar Venkatesh Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations. RO-MAN 2020: 1107-1112 - [i62]Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar:
A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks. CoRR abs/2002.02084 (2020) - [i61]Sashank Tirumala, Sagar Venkatesh Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations. CoRR abs/2007.14290 (2020) - [i60]Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar:
A reinforcement learning approach to hybrid control design. CoRR abs/2009.00821 (2020) - [i59]Dhuruva Priyan G. M, Abhik Singla, Shalabh Bhatnagar:
Hindsight Experience Replay with Kronecker Product Approximate Curvature. CoRR abs/2010.06142 (2020) - [i58]Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach. CoRR abs/2010.16342 (2020)
2010 – 2019
- 2019
- [j65]Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
An Online Sample-Based Method for Mode Estimation Using ODE Analysis of Stochastic Approximation Algorithms. IEEE Control. Syst. Lett. 3(3): 697-702 (2019) - [j64]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Stability of Stochastic Approximations With "Controlled Markov" Noise and Temporal Difference Learning. IEEE Trans. Autom. Control. 64(6): 2614-2620 (2019) - [c63]Ajin George Joseph, Shalabh Bhatnagar:
Stochastic Approximation Trackers for Model-Based Search. Allerton 2019: 741-748 - [c62]Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar:
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. AAMAS 2019: 1931-1933 - [c61]Ajin George Joseph, Shalabh Bhatnagar:
An Adaptive and Incremental Approach to Quantile Estimation. CDC 2019: 6025-6031 - [c60]Indu John, Shalabh Bhatnagar:
Efficient Budget Allocation and Task Assignment in Crowdsourcing. COMAD/CODS 2019: 318-321 - [c59]Indu John, Ravikumar Karumanchi, Shalabh Bhatnagar:
Predictive and Prescriptive Analytics for Performance Optimization: Framework and a Case Study on a Large-Scale Enterprise System. ICMLA 2019: 876-881 - [c58]Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives. ICRA 2019: 7434-7440 - [c57]Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots. RO-MAN 2019: 1-6 - [c56]Shishir Kolathaya, Ashitava Ghosal, Bharadwaj Amrutur, Ashish Joglekar, Suhan Shetty, Dhaivat Dholakiya, Abhimanyu, Aditya Sagi, Shounak Bhattacharya, Abhik Singla, Shalabh Bhatnagar:
Trajectory based Deep Policy Search for Quadrupedal Walking. RO-MAN 2019: 1-6 - [c55]Indu John, Aiswarya Sreekantan, Shalabh Bhatnagar:
Efficient Adaptive Resource Provisioning for Cloud Applications using Reinforcement Learning. FAS*W@SASO/ICAC 2019: 271-272 - [i57]Dhaivat Dholakiya, Shounak Bhattacharya, Ajay Gunalan, Abhik Singla, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Design, Development and Experimental Realization of a Quadrupedal Research Platform: Stoch. CoRR abs/1901.00697 (2019) - [i56]Chandramouli K, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms. CoRR abs/1902.03806 (2019) - [i55]Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Successive Over Relaxation Q-Learning. CoRR abs/1903.03812 (2019) - [i54]Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar:
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. CoRR abs/1905.02907 (2019) - [i53]Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Second Order Value Iteration in Reinforcement Learning. CoRR abs/1905.03927 (2019) - [i52]Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar:
Reinforcement Learning in Non-Stationary Environments. CoRR abs/1905.03970 (2019) - [i51]Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots. CoRR abs/1905.06077 (2019) - [i50]Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
Solution of Two-Player Zero-Sum Game by Successive Relaxation. CoRR abs/1906.06659 (2019) - [i49]Indu John, Chandramouli Kamanchi, Shalabh Bhatnagar:
Generalized Speedy Q-learning. CoRR abs/1911.00397 (2019) - [i48]Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
A Convergent Off-Policy Temporal Difference Algorithm. CoRR abs/1911.05697 (2019) - [i47]Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar:
Hierarchical Average Reward Policy Gradient Algorithms. CoRR abs/1911.08826 (2019) - [i46]Sashank Tirumala, Aditya Sagi, Kartik Paigwar, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Gait Library Synthesis for Quadruped Robots via Augmented Random Search. CoRR abs/1912.12907 (2019) - 2018
- [j63]Enlu Zhou, Shalabh Bhatnagar:
Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space. INFORMS J. Comput. 30(1): 154-167 (2018) - [j62]Ajin George Joseph, Shalabh Bhatnagar:
An incremental off-policy search in a model-free Markov decision process using a single sample path. Mach. Learn. 107(6): 969-1011 (2018) - [j61]Ajin George Joseph, Shalabh Bhatnagar:
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method. Mach. Learn. 107(8-10): 1385-1429 (2018) - [j60]Prasenjit Karmakar, Shalabh Bhatnagar:
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning. Math. Oper. Res. 43(1): 130-151 (2018) - [j59]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar, Csaba Szepesvári:
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes. IEEE Trans. Autom. Control. 63(4): 1185-1191 (2018) - [j58]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Analysis of Gradient Descent Methods With Nondiminishing Bounded Errors. IEEE Trans. Autom. Control. 63(5): 1465-1471 (2018) - [j57]Shalabh Bhatnagar, Sanjeev Patel, Karmeshu:
A stochastic approximation approach to active queue management. Telecommun. Syst. 68(1): 89-104 (2018) - [j56]Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks. IEEE Wirel. Commun. Lett. 7(5): 712-715 (2018) - [c54]Chandramouli K, Prabuchandran K. J., Sai Koti Reddy Danda, Shalabh Bhatnagar:
Generalized Deterministic Perturbations For Stochastic Gradient Search. CDC 2018: 5734-5739 - [c53]Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
A unified decision making framework for supply and demand management in microgrid networks. SmartGridComm 2018: 1-7 - [i45]Ajin George Joseph, Shalabh Bhatnagar:
An Incremental Off-policy Search in a Model-free Markov Decision Process Using a Single Sample Path. CoRR abs/1801.10287 (2018) - [i44]Ajin George Joseph, Shalabh Bhatnagar:
A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees. CoRR abs/1801.10291 (2018) - [i43]Ajin George Joseph, Shalabh Bhatnagar:
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method. CoRR abs/1806.06720 (2018) - [i42]Prashanth L. A., Shalabh Bhatnagar, Nirav Bhavsar, Michael C. Fu, Steven I. Marcus:
Random directions stochastic approximation with deterministic perturbations. CoRR abs/1808.02871 (2018) - [i41]Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya:
Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives. CoRR abs/1810.03842 (2018) - [i40]Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar:
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge. CoRR abs/1811.03307 (2018) - 2017
- [j55]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
A stability criterion for two timescale stochastic approximation schemes. Autom. 79: 108-114 (2017) - [j54]K. Lakshmanan, Shalabh Bhatnagar:
Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization. Comput. Optim. Appl. 66(3): 533-556 (2017) - [j53]Arunselvan Ramaswamy, Shalabh Bhatnagar:
A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions. Math. Oper. Res. 42(3): 648-661 (2017) - [j52]Prashanth L. A., Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus:
Adaptive System Optimization Using Random Directions Stochastic Approximation. IEEE Trans. Autom. Control. 62(5): 2223-2238 (2017) - [j51]Karmeshu, Sanjeev Patel, Shalabh Bhatnagar:
Adaptive mean queue size and its rate of change: queue management with random dropping. Telecommun. Syst. 65(2): 281-295 (2017) - [c52]Sandeep Kumar, Sindhu Padakandla, Chandrashekar Lakshminarayanan, Priyank Parihar, K. Gopinath, Shalabh Bhatnagar:
Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach. CLOUD 2017: 375-382 - [c51]Ajin George Joseph, Shalabh Bhatnagar:
A model based search method for prediction in model-free Markov decision process. IJCNN 2017: 170-177 - [c50]Ajin George Joseph, Shalabh Bhatnagar:
Bounds for off-policy prediction in reinforcement learning. IJCNN 2017: 3991-3997 - [c49]Ajin George Joseph, Shalabh Bhatnagar:
An Incremental Fast Policy Search Using a Single Sample Path. PReMI 2017: 3-10 - [i39]Vinayaka G. Yaji, Shalabh Bhatnagar:
Analysis of stochastic approximation schemes with set-valued maps in the absence of a stability guarantee and their stabilization. CoRR abs/1701.07590 (2017) - [i38]Chandramouli K, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Deterministic Perturbations For Simultaneous Perturbation Methods Using Circulant Matrices. CoRR abs/1702.06250 (2017) - [i37]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar, Csaba Szepesvári:
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes. CoRR abs/1704.02544 (2017) - [i36]Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids. CoRR abs/1708.07732 (2017) - [i35]Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar:
Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks. CoRR abs/1708.08113 (2017) - [i34]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Conditions for Stability and Convergence of Set-Valued Stochastic Approximations: Applications to Approximate Value and Fixed point Iterations with Noise. CoRR abs/1709.04673 (2017) - [i33]Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Krishnasuri Narayanam, Shalabh Bhatnagar:
A unified decision making framework for supply and demand management in microgrid networks. CoRR abs/1711.05078 (2017) - [i32]Jayvant Anantpur, Nagendra Dwarakanath Gulur, Shivaram Kalyanakrishnan, Shalabh Bhatnagar, R. Govindarajan:
RLWS: A Reinforcement Learning based GPU Warp Scheduler. CoRR abs/1712.04303 (2017) - 2016
- [j50]Shalabh Bhatnagar, K. Lakshmanan:
Multiscale Q-learning with linear function approximation. Discret. Event Dyn. Syst. 26(3): 477-509 (2016) - [j49]Prashanth L. A., H. L. Prasad, Shalabh Bhatnagar, Prakash Chandra:
A constrained optimization perspective on actor-critic algorithms and application to network routing. Syst. Control. Lett. 92: 46-51 (2016) - [j48]Prabuchandran K. J., Shalabh Bhatnagar, Vivek S. Borkar:
Actor-Critic Algorithms with Online Feature Adaptation. ACM Trans. Model. Comput. Simul. 26(4): 24:1-24:26 (2016) - [c48]Sai Koti Reddy Danda, Prashanth L. A., Shalabh Bhatnagar:
Improved Hessian estimation for adaptive random directions stochastic approximation. CDC 2016: 3682-3687 - [c47]Ajin George Joseph, Shalabh Bhatnagar:
Revisiting the Cross Entropy Method with Applications in Stochastic Global Optimization and Reinforcement Learning. ECAI 2016: 1026-1034 - [c46]Raj Kumar Maity, Chandrashekar Lakshminarayanan, Sindhu Padakandla, Shalabh Bhatnagar:
Shaping Proto-Value Functions Using Rewards. ECAI 2016: 1690-1691 - [c45]Ranganath B. N., Shalabh Bhatnagar:
Scalable focussed entity resolution. IJCNN 2016: 3570-3577 - [c44]Ajin George Joseph, Shalabh Bhatnagar:
A randomized algorithm for continuous optimization. WSC 2016: 907-918 - [i31]Karmeshu, Sanjeev Patel, Shalabh Bhatnagar:
Adaptive Mean Queue Size and Its Rate of Change: Queue Management with Random Dropping. CoRR abs/1602.02241 (2016) - [i30]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Gradient-based learning algorithms with constant-error estimators: stability and convergence. CoRR abs/1604.00151 (2016) - [i29]Prasenjit Karmakar, Raj Kumar Maity, Shalabh Bhatnagar:
On a convergent off -policy temporal difference learning algorithm in on-line learning environment. CoRR abs/1605.06076 (2016) - [i28]Vinayaka Yaji, Shalabh Bhatnagar:
Stochastic Recursive Inclusions with Non-Additive Iterate-Dependent Markov Noise. CoRR abs/1607.04735 (2016) - [i27]Ajin George Joseph, Shalabh Bhatnagar:
A Cross Entropy based Stochastic Approximation Algorithm for Reinforcement Learning with Linear Function Approximation. CoRR abs/1609.09449 (2016) - [i26]Vinayaka Yaji, Shalabh Bhatnagar:
Stochastic Recursive Inclusions in two timescales with non-additive iterate dependent Markov noise. CoRR abs/1611.05961 (2016) - [i25]Sandeep Kumar, Sindhu Padakandla, Chandrashekar Lakshminarayanan, Priyank Parihar, K. Gopinath, Shalabh Bhatnagar:
Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach. CoRR abs/1611.10052 (2016) - [i24]Prasenjit Karmakar, Shalabh Bhatnagar:
A note on the function approximation error bound for risk-sensitive reinforcement learning. CoRR abs/1612.07562 (2016) - 2015
- [j47]Shalabh Bhatnagar, Prashanth L. A.:
Simultaneous Perturbation Newton Algorithms for Simulation Optimization. J. Optim. Theory Appl. 164(2): 621-643 (2015) - [j46]Vinayaka Yaji, Shalabh Bhatnagar:
Necessary and sufficient conditions for optimality in constrained general sum stochastic games. Syst. Control. Lett. 85: 8-15 (2015) - [j45]Prashanth L. A., H. L. Prasad, Nirmit Desai, Shalabh Bhatnagar, Gargi Dasgupta:
Simultaneous perturbation methods for adaptive labor staffing in service systems. Simul. 91(5): 432-455 (2015) - [j44]Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar:
Energy Sharing for Multiple Sensor Nodes With Finite Buffers. IEEE Trans. Commun. 63(5): 1811-1823 (2015) - [c43]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
A Generalized Reduced Linear Program for Markov Decision Processes. AAAI 2015: 2722-2728 - [c42]H. L. Prasad, Prashanth L. A., Shalabh Bhatnagar:
Two-Timescale Algorithms for Learning Nash Equilibria in General-Sum Stochastic Games. AAMAS 2015: 1371-1379 - [c41]Prabuchandran K. J., Hemanth Kumar A. N, Shalabh Bhatnagar:
Decentralized learning for traffic signal control. COMSNETS 2015: 1-6 - [c40]Ajin George Joseph, Shalabh Bhatnagar:
A Stochastic Approximation Algorithm for Quantile Estimation. ICONIP (2) 2015: 311-319 - [i23]Arunselvan Ramaswamy, Shalabh Bhatnagar:
A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions. CoRR abs/1502.01953 (2015) - [i22]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Stochastic recursive inclusions with two timescales. CoRR abs/1502.01956 (2015) - [i21]Prashanth L. A., Shalabh Bhatnagar:
Adaptive system optimization using (simultaneous) random directions stochastic approximation. CoRR abs/1502.05577 (2015) - [i20]Sindhu Padakandla, Prabuchandran K. J., Shalabh Bhatnagar:
Energy Sharing for Multiple Sensor Nodes with Finite Buffers. CoRR abs/1503.04964 (2015) - [i19]Prasenjit Karmakar, Shalabh Bhatnagar:
Two Timescale Stochastic Approximation with Controlled Markov noise. CoRR abs/1503.09105 (2015) - [i18]Arunselvan Ramaswamy, Shalabh Bhatnagar:
Stability of Stochastic Approximations with 'Controlled Markov' Noise and Temporal Difference Learning. CoRR abs/1504.06043 (2015) - [i17]Vinayaka Yaji, Shalabh Bhatnagar:
A bi-convex optimization problem to compute Nash equilibrium in n-player games and an algorithm. CoRR abs/1504.06828 (2015) - [i16]H. L. Prasad, Shalabh Bhatnagar:
A Study of Gradient Descent Schemes for General-Sum Stochastic Games. CoRR abs/1507.00093 (2015) - [i15]Prashanth L. A., H. L. Prasad, Shalabh Bhatnagar, Prakash Chandra:
A constrained optimization perspective on actor critic algorithms and application to network routing. CoRR abs/1507.07984 (2015) - [i14]Chandrashekar Lakshmi Narayanan, Raj Kumar Maity, Shalabh Bhatnagar:
Shaping Proto-Value Functions via Rewards. CoRR abs/1511.08589 (2015) - 2014
- [j43]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms. Autom. 50(10): 2606-2614 (2014) - [j42]Saswata Chakravarty, Sindhu Padakandla, Shalabh Bhatnagar:
A simulation-based algorithm for optimal pricing policy under demand uncertainty. Int. Trans. Oper. Res. 21(5): 737-760 (2014) - [j41]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions. ACM Trans. Model. Comput. Simul. 24(3): 17:1-17:26 (2014) - [j40]Prashanth L. A., Abhranil Chatterjee, Shalabh Bhatnagar:
Two timescale convergent Q-learning for sleep-scheduling in wireless sensor networks. Wirel. Networks 20(8): 2589-2604 (2014) - [c39]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
Approximate Dynamic Programming with (min; +) linear function approximation for Markov decision processes. CDC 2014: 1588-1593 - [c38]Prabuchandran K. J., Shalabh Bhatnagar, Vivek S. Borkar:
An actor critic algorithm based on Grassmanian search. CDC 2014: 3597-3602 - [c37]Prashanth L. A., Abhranil Chatterjee, Shalabh Bhatnagar:
Adaptive sleep-wake control using reinforcement learning in sensor networks. COMSNETS 2014: 1-8 - [c36]Chandrashekar Lakshminarayanan, Ayush Dubey, Shalabh Bhatnagar, Chithralekha Balamurugan:
A Markov Decision Process Framework for Predictable Job Completion Times on Crowdsourcing Platforms. HCOMP 2014: 34-35 - [c35]Prabuchandran K. J., Hemanth Kumar A. N, Shalabh Bhatnagar:
Multi-agent reinforcement learning for traffic signal control. ITSC 2014: 2529-2534 - [c34]Hengshuai Yao, Csaba Szepesvári, Richard S. Sutton, Joseph Modayil, Shalabh Bhatnagar:
Universal Option Models. NIPS 2014: 990-998 - [c33]Enlu Zhou, Shalabh Bhatnagar, Xi Chen:
Simulation optimization via gradient-based stochastic search. WSC 2014: 3869-3879 - [i13]H. L. Prasad, Prashanth L. A., Shalabh Bhatnagar:
Algorithms for Nash Equilibria in General-Sum Stochastic Games. CoRR abs/1401.2086 (2014) - [i12]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
Approximate Dynamic Programming based on Projection onto the (min, +) subsemimodule. CoRR abs/1403.4175 (2014) - [i11]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
Approximate dynamic programming with $(\min, +)$ linear function approximation for Markov decision processes. CoRR abs/1403.4179 (2014) - [i10]Chandrashekar Lakshminarayanan, Shalabh Bhatnagar:
A Generalized Reduced Linear Program for Markov Decision Processes. CoRR abs/1409.3536 (2014) - 2013
- [j39]Shalabh Bhatnagar, Vivek S. Borkar, Prabuchandran K. J.:
Feature Search in the Grassmanian in Online Reinforcement Learning. IEEE J. Sel. Top. Signal Process. 7(5): 746-758 (2013) - [j38]Prabuchandran K. J., Sunil Kumar Meena, Shalabh Bhatnagar:
Q-Learning Based Energy Management Policies for a Single Sensor Node with Finite Buffer. IEEE Wirel. Commun. Lett. 2(1): 82-85 (2013) - [c32]Prashanth Lakshmanrao Ananthapadmanabharao, Horabailu Laxminarayana Prasad, Nirmit Desai, Shalabh Bhatnagar:
Mechanisms for hostile agents with capacity constraints. AAMAS 2013: 659-666 - [i9]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
Newton based Stochastic Optimization using q-Gaussian Smoothed Functional Algorithms. CoRR abs/1311.2296 (2013) - [i8]Prashanth Lakshmanrao Ananthapadmanabharao, Abhranil Chatterjee, Shalabh Bhatnagar:
Reinforcement Learning for Sleep-Wake Scheduling in Sensor Networks. CoRR abs/1312.7292 (2013) - [i7]Prashanth L. A., H. L. Prasad, Nirmit Desai, Shalabh Bhatnagar, Gargi Dasgupta:
Simultaneous Perturbation Methods for Adaptive Labor Staffing in Service Systems. CoRR abs/1312.7430 (2013) - 2012
- [j37]H. L. Prasad, Shalabh Bhatnagar:
General-sum stochastic games: Verifiability conditions for Nash equilibria. Autom. 48(11): 2923-2930 (2012) - [j36]Koteswara Rao Vemu, Shalabh Bhatnagar, N. Hemachandra:
Optimal multi-layered congestion based pricing schemes for enhanced QoS. Comput. Networks 56(4): 1249-1262 (2012) - [j35]Shalabh Bhatnagar, K. Lakshmanan:
An Online Actor-Critic Algorithm with Function Approximation for Constrained Markov Decision Processes. J. Optim. Theory Appl. 153(3): 688-708 (2012) - [j34]Prashanth L. A., Shalabh Bhatnagar:
Threshold Tuning Using Stochastic Optimization for Graded Signal Control. IEEE Trans. Veh. Technol. 61(9): 3865-3880 (2012) - [c31]K. Lakshmanan, Shalabh Bhatnagar:
A novel Q-learning algorithm with function approximation for constrained Markov decision processes. Allerton Conference 2012: 400-405 - [c30]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
q-Gaussian based Smoothed Functional algorithms for stochastic optimization. ISIT 2012: 1059-1063 - [i6]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization. CoRR abs/1202.5665 (2012) - [i5]Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar:
Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions. CoRR abs/1206.4832 (2012) - 2011
- [j33]Shalabh Bhatnagar:
The Borkar-Meyn theorem for asynchronous stochastic approximations. Syst. Control. Lett. 60(7): 472-478 (2011) - [j32]Shalabh Bhatnagar, Vivek Kumar Mishra, N. Hemachandra:
Stochastic Algorithms for Discrete Parameter Simulation Optimization. IEEE Trans Autom. Sci. Eng. 8(4): 780-793 (2011) - [j31]Karmeshu, Shalabh Bhatnagar, Vivek Kumar Mishra:
An Optimized SDE Model for Slotted Aloha. IEEE Trans. Commun. 59(6): 1502-1508 (2011) - [j30]Prashanth L. A., Shalabh Bhatnagar:
Reinforcement Learning With Function Approximation for Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 12(2): 412-421 (2011) - [j29]Shalabh Bhatnagar, N. Hemachandra, Vivek Kumar Mishra:
Stochastic approximation algorithms for constrained optimization via simulation. ACM Trans. Model. Comput. Simul. 21(3): 15:1-15:22 (2011) - [c29]K. Lakshmanan, Shalabh Bhatnagar:
Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints. ICDCIT 2011: 175-186 - [c28]Prashanth L. A., H. L. Prasad, Nirmit Desai, Shalabh Bhatnagar, Gargi Banerjee Dasgupta:
Stochastic Optimization for Adaptive Labor Staffing in Service Systems. ICSOC 2011: 487-494 - [c27]Prashanth L. A., Shalabh Bhatnagar:
Reinforcement learning with average cost for adaptive control of traffic lights at intersections. ITSC 2011: 1640-1645 - 2010
- [j28]Shalabh Bhatnagar:
An actor-critic algorithm with function approximation for discounted cost constrained Markov decision processes. Syst. Control. Lett. 59(12): 760-766 (2010) - [j27]Anshuk Chakraborty, Shalabh Bhatnagar:
Optimized Policies for the Retransmission Probabilities in Slotted Aloha. Simul. 86(4): 247-261 (2010) - [j26]G. Ramana Reddy, Shalabh Bhatnagar, V. Rakesh, Vijay Prakash Chaturvedi:
An efficient algorithm for scheduling in bluetooth piconets and scatternets. Wirel. Networks 16(7): 1799-1816 (2010) - [c26]Hamid Reza Maei, Csaba Szepesvári, Shalabh Bhatnagar, Richard S. Sutton:
Toward Off-Policy Learning Control with Function Approximation. ICML 2010: 719-726
2000 – 2009
- 2009
- [j25]Shalabh Bhatnagar, Richard S. Sutton, Mohammad Ghavamzadeh, Mark Lee:
Natural actor-critic algorithms. Autom. 45(11): 2471-2482 (2009) - [j24]Shalabh Bhatnagar, Rajesh Kumar Patro:
A proof of convergence of the B-RED and P-RED algorithms for random early detection. IEEE Commun. Lett. 13(10): 809-811 (2009) - [j23]Rajesh Kumar Patro, Shalabh Bhatnagar:
A probabilistic constrained nonlinear optimization framework to optimize RED parameters. Perform. Evaluation 66(2): 81-104 (2009) - [j22]Shalabh Bhatnagar, Karmeshu, Vivek Kumar Mishra:
Optimal parameter trajectory estimation in parameterized SDEs: An algorithmic procedure. ACM Trans. Model. Comput. Simul. 19(2): 8:1-8:27 (2009) - [c25]Hengshuai Yao, Shalabh Bhatnagar, Csaba Szepesvári:
LMS-2: Towards an algorithm that is as cheap as LMS and almost as efficient as RLS. CDC 2009: 1181-1188 - [c24]Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, Eric Wiewiora:
Fast gradient-descent methods for temporal-difference learning with linear function approximation. ICML 2009: 993-1000 - [c23]Hamid Reza Maei, Csaba Szepesvári, Shalabh Bhatnagar, Doina Precup, David Silver, Richard S. Sutton:
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation. NIPS 2009: 1204-1212 - [c22]Hengshuai Yao, Richard S. Sutton, Shalabh Bhatnagar, Diao Dongcui, Csaba Szepesvári:
Multi-Step Dyna Planning for Policy Evaluation and Control. NIPS 2009: 2187-2195 - [r1]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Pattern Synthesis for Nonparametric Pattern Recognition. Encyclopedia of Data Warehousing and Mining 2009: 1511-1516 - 2008
- [j21]Shalabh Bhatnagar, K. Mohan Babu:
New algorithms of the Q-learning type. Autom. 44(4): 1111-1119 (2008) - [j20]Sudha Velusamy, Lakshmi Gopal, Shalabh Bhatnagar, Sridhar Varadarajan:
An efficient ad recommendation system for TV programs. Multim. Syst. 14(2): 73-87 (2008) - [j19]Shalabh Bhatnagar, Mohammed Shahid Abdulla:
Simulation-Based Optimization Algorithms for Finite-Horizon Markov Decision Processes. Simul. 84(12): 577-600 (2008) - [c21]Sudha Velusamy, Shalabh Bhatnagar, S. V. Basavaraja, V. Sridhar:
SPSA based feature relevance estimation for video retrieval. MMSP 2008: 598-603 - [c20]Sudha Rani Kolavali, Shalabh Bhatnagar:
Ant Colony Optimization Algorithms for Shortest Path Problems. NET-COOP 2008: 37-44 - 2007
- [j18]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
Reinforcement Learning Based Algorithms for Average Cost Markov Decision Processes. Discret. Event Dyn. Syst. 17(1): 23-52 (2007) - [j17]Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty:
Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. 177(24): 5707-5714 (2007) - [j16]Shalabh Bhatnagar:
Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization. ACM Trans. Model. Comput. Simul. 18(1): 2:1-2:35 (2007) - [c19]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
Parametrized Actor-Critic Algorithms for Finite-Horizon MDPs. ACC 2007: 534-539 - [c18]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
Solving MDPs using Two-timescale Simulated Annealing with Multiplicative Weights. ACC 2007: 2428-2433 - [c17]Koteswara Rao Vemu, Shalabh Bhatnagar, N. Hemachandra:
Link route pricing for enhanced QoS. CDC 2007: 1504-1509 - [c16]Vivek Kumar Mishra, Shalabh Bhatnagar, N. Hemachandra:
Discrete parameter simulation optimization algorithms with applications to admission control with dependent service times. CDC 2007: 2986-2991 - [c15]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
Network flow-control using asynchronous stochastic approximation. CDC 2007: 5857-5862 - [c14]Sudha Velusamy, Lakshmi Gopal, Sridhar Varadarajan, Shalabh Bhatnagar:
Fuzzy Clustering Based Ad Recommendation for TV Programs. EuroITV 2007: 175-184 - [c13]Vijay Prakash Chaturvedi, V. Rakesh, Shalabh Bhatnagar:
An Efficient and Optimized Bluetooth Scheduling Algorithm for Piconets. ICDCIT 2007: 19-30 - [c12]Koteswara Rao Vemu, Shalabh Bhatnagar, N. Hemachandra:
An Optimal Weighted-Average Congestion Based Pricing Scheme for Enhanced QoS. ICDCIT 2007: 135-145 - [c11]Shalabh Bhatnagar, Richard S. Sutton, Mohammad Ghavamzadeh, Mark Lee:
Incremental Natural Actor-Critic Algorithms. NIPS 2007: 105-112 - 2006
- [j15]Shalabh Bhatnagar, J. Ranjan Panigrahi:
Actor-critic algorithms for hierarchical Markov decision processes. Autom. 42(4): 637-644 (2006) - [j14]Shalabh Bhatnagar, Vivek S. Borkar, Madhukar Akarapu:
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events. J. Mach. Learn. Res. 7: 1937-1962 (2006) - [j13]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognit. Lett. 27(14): 1714-1724 (2006) - [j12]Rahul Vaidya, Shalabh Bhatnagar:
Robust optimization of Random Early Detection. Telecommun. Syst. 33(4): 291-316 (2006) - [c10]Rajesh Kumar Patro, Shalabh Bhatnagar:
A Four-Timescale Algorithm for Constrained Stochastic Optimization of RED. CDC 2006: 1930-1935 - [c9]Shalabh Bhatnagar, Mohammed Shahid Abdulla:
A Reinforcement Learning Based Algorithm for Finite Horizon Markov Decision Processes. CDC 2006: 5519-5524 - [c8]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
SPSA algorithms with measurement reuse. WSC 2006: 320-328 - [i4]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions. CoRR abs/cs/0601080 (2006) - 2005
- [j11]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognit. 38(8): 1187-1195 (2005) - [j10]Shalabh Bhatnagar, Hemant J. Kowshik:
A Discrete Parameter Stochastic Approximation Algorithm for Simulation Optimization. Simul. 81(11): 757-772 (2005) - [j9]Shalabh Bhatnagar, I. Bala Bhaskar Reddy:
Optimal Threshold Policies for Admission Control in Communication Networks via Discrete Parameter Stochastic Approximation. Telecommun. Syst. 29(1): 9-31 (2005) - [j8]Shalabh Bhatnagar:
Adaptive multivariate three-timescale stochastic approximation algorithms for simulation based optimization. ACM Trans. Model. Comput. Simul. 15(1): 74-107 (2005) - [c7]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. Congress on Evolutionary Computation 2005: 1667-1674 - [c6]Mohammed Shahid Abdulla, Shalabh Bhatnagar:
Solution of Mdps Using Simulation-Based Value Iteration. AIAI 2005: 765-775 - [c5]Ambedkar Dukkipati, Narasimha Murty Musti, Shalabh Bhatnagar:
Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework. ISIT 2005: 2374-2378 - [i3]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Uniqueness of Nonextensive entropy under Renyi's Recipe. CoRR abs/cs/0511078 (2005) - 2004
- [j7]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification. Inf. Fusion 5(4): 239-250 (2004) - [j6]Shalabh Bhatnagar, Shishir Kumar:
A simultaneous perturbation stochastic approximation-based actor-critic algorithm for Markov decision processes. IEEE Trans. Autom. Control. 49(4): 592-598 (2004) - [c4]Jnana Ranjan Panigrahi, Shalabh Bhatnagar:
Hierarchical decision making in semiconductor fabs using multi-time scale Markov decision processes. CDC 2004: 4387-4392 - [c3]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 55-62 - [c2]P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar:
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. ICPR (4) 2004: 416-419 - [i2]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Generalized Evolutionary Algorithm based on Tsallis Statistics. CoRR cs.AI/0407037 (2004) - [i1]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms. CoRR cs.AI/0408055 (2004) - 2003
- [j5]Shalabh Bhatnagar, Vivek S. Borkar:
Multiscale Chaotic SPSA and Smoothed Functional Algorithms for Simulation Optimization. Simul. 79(10): 568-580 (2003) - [j4]Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus, I-Jeng Wang:
Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences. ACM Trans. Model. Comput. Simul. 13(2): 180-209 (2003) - [c1]Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar:
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. IEEE Congress on Evolutionary Computation 2003: 846-853 - 2002
- [j3]Xi-Ren Cao, Zhiyuan Ren, Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus:
A time aggregation approach to Markov decision processes. Autom. 38(6): 929-943 (2002) - 2001
- [j2]Shalabh Bhatnagar, Michael C. Fu, Steven I. Marcus, Pedram Jaefari Fard:
Optimal structured feedback policies for ABR flow control using two-timescale SPSA. IEEE/ACM Trans. Netw. 9(4): 479-491 (2001)
1990 – 1999
- 1995
- [j1]Shalabh Bhatnagar, Vivek S. Borkar:
A Convex Analytic Framework for Ergodic Control of Semi-Markov Processes. Math. Oper. Res. 20(4): 923-936 (1995)
Coauthor Index
Prashanth L. A.
aka: Prashanth Lakshmanrao Ananthapadmanabharao
aka: Prashanth Lakshmanrao Ananthapadmanabharao
Bharadwaj S. Amrutur
aka: Bharadwaj Amrutur
aka: Bharadwaj Amrutur
Ajin Joseph 0001
aka: Ajin George Joseph
aka: Ajin George Joseph
Chandramouli K
aka: Chandramouli Kamanchi
aka: Chandramouli Kamanchi
Chandrashekar Lakshminarayanan
aka: Chandrashekar Lakshmi Narayanan
aka: Chandrashekar Lakshmi Narayanan
M. Narasimha Murty
aka: Narasimha Murty Musti
aka: Narasimha Murty Musti
H. L. Prasad
aka: Horabailu Laxminarayana Prasad
aka: Horabailu Laxminarayana Prasad
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last updated on 2024-12-23 19:33 CET by the dblp team
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