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ORCIDShlomo Zilberstein
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- affiliation: University of Massachusetts Amherst, USA
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2020 – today
- 2024
[c196]Saaduddin Mahmud, Marcell Vazquez-Chanlatte, Stefan J. Witwicki, Shlomo Zilberstein:
Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information. AAMAS 2024: 1346-1354- [c195]Shuwa Miura, Shlomo Zilberstein:
Observer-Aware Planning with Implicit and Explicit Communication. AAMAS 2024: 1409-1417 - [c194]Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein:
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. AAMAS 2024: 2213-2215 - [c193]Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein:
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. FLAIRS 2024 - [c192]Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein:
Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. ICRA 2024: 4619-4625 - [c191]Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Ethically Compliant Autonomous Systems under Partial Observability. ICRA 2024: 16229-16235 - 2023
- [j44]Connor Basich
, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Competence-aware systems. Artif. Intell. 316: 103844 (2023) - [c190]Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
REVEALE: Reward Verification and Learning Using Explanations. SafeAI@AAAI 2023 - [c189]Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein:
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. AAAI 2023: 15144-15151 - [c188]Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein:
Semi-Autonomous Systems with Contextual Competence Awareness. AAMAS 2023: 689-697 - [c187]Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein:
Causal Explanations for Sequential Decision Making Under Uncertainty. AAMAS 2023: 2307-2309 - [c186]Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, Shlomo Zilberstein:
Estimating Causal Responsibility for Explaining Autonomous Behavior. EXTRAAMAS 2023: 78-94 - [c185]Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
Explanation-Guided Reward Alignment. IJCAI 2023: 473-482 - [c184]Connor Basich, Saaduddin Mahmud, Shlomo Zilberstein:
Learning Constraints on Autonomous Behavior from Proactive Feedback. IROS 2023: 3680-3687 - [c183]Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Formal Composition of Robotic Systems as Contract Programs. IROS 2023: 6727-6732 - [i34]Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein:
RL3: Boosting Meta Reinforcement Learning via RL inside RL2. CoRR abs/2306.15909 (2023) - 2022
- [j43]Samer B. Nashed, Shlomo Zilberstein:
A Survey of Opponent Modeling in Adversarial Domains. J. Artif. Intell. Res. 73: 277-327 (2022) - [j42]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. 74: 143-177 (2022) - [j41]Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. 7(2): 3218-3225 (2022) - [c182]Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS 2022: 556-564 - [c181]Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein:
Metareasoning for Safe Decision Making in Autonomous Systems. ICRA 2022: 11073-11079 - [c180]Connor Basich, Joseph A. Russino, Steve A. Chien, Shlomo Zilberstein:
A Sampling Based Approach to Robust Planning for a Planetary Lander. IROS 2022: 4106-4111 - [c179]Connor Basich, John R. Peterson, Shlomo Zilberstein:
Planning with Intermittent State Observability: Knowing When to Act Blind. IROS 2022: 11657-11664 - [c178]Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein:
Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS 2022: 11665-11670 - [c177]Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein:
Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS 2022: 127-135 - [c176]John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein:
Trajectory Constraint Heuristics for Optimal Probabilistic Planning. SOCS 2022: 153-161 - [i33]Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein:
A Unifying Framework for Causal Explanation of Sequential Decision Making. CoRR abs/2205.15462 (2022) - [i32]Emily Pruc, Shlomo Zilberstein, Joydeep Biswas:
Dense Crowd Flow-Informed Path Planning. CoRR abs/2206.00705 (2022) - [i31]Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein:
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL. CoRR abs/2206.02380 (2022) - 2021
- [j40]Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar:
Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. 42(4): 62-71 (2021) - [c175]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Sequential Decision Making. AAAI 2021: 11657-11665 - [c174]Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein:
Ethically Compliant Planning within Moral Communities. AIES 2021: 188-198 - [c173]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. AIES 2021: 491-501 - [c172]Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. AAMAS 2021: 1640-1642 - [c171]Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein:
Understanding User Attitudes Towards Negative Side Effects of AI Systems. CHI Extended Abstracts 2021: 368:1-368:6 - [c170]Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein:
Solving Markov Decision Processes with Partial State Abstractions. ICRA 2021: 813-819 - [c169]Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence via Iterative State Space Refinement. IROS 2021: 1865-1871 - [c168]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-Aware State Estimation in Autonomous Vehicles. IROS 2021: 6694-6699 - [c167]Shuwa Miura, Andrew L. Cohen, Shlomo Zilberstein:
Maximizing Legibility in Stochastic Environments. RO-MAN 2021: 1053-1059 - [c166]Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein:
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS 2021: 116-120 - [c165]Shuwa Miura, Shlomo Zilberstein:
A unifying framework for observer-aware planning and its complexity. UAI 2021: 610-620 - [i30]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. CoRR abs/2102.03977 (2021) - [i29]Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. CoRR abs/2102.07017 (2021) - [i28]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-aware State Estimation in Autonomous Vehicles. CoRR abs/2108.00366 (2021) - [i27]Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning via Introspective Perception. CoRR abs/2109.13974 (2021) - 2020
- [c164]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. AIES 2020: 351-357 - [c163]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS 2020: 123-131 - [c162]Shuwa Miura, Shlomo Zilberstein:
Maximizing Plan Legibility in Stochastic Environments. AAMAS 2020: 1931-1933 - [c161]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS 2020: 1984-1986 - [c160]Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan:
Skill-based Career Path Modeling and Recommendation. IEEE BigData 2020: 1156-1165 - [c159]Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein:
Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. ECAI 2020: 2394-2401 - [c158]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
An Integrated Approach to Moral Autonomous Systems. ECAI 2020: 2941-2942 - [c157]Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein:
A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA 2020: 11436-11442 - [c156]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI 2020: 354-361 - [c155]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI 2020 - [c154]Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings:
Multi-agent Planning with High-Level Human Guidance. PRIMA 2020: 182-198 - [c153]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence for Reliable Autonomy. AREA@ECAI 2020: 37-53 - [i26]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR abs/2003.07745 (2020) - [i25]Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar:
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR abs/2008.12146 (2020) - [i24]Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein:
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR abs/2010.04914 (2020)
2010 – 2019
- 2019
- [j39]Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard G. Freedman, John E. Laird, Christian Lebiere, Katrin S. Lohan, Ross Mead, Mark Roberts, Paul S. Rosenbloom, Emmanuel Senft, Frank Stein, Tom Williams, Kyle Hollins Wray, Fusun Yaman, Shlomo Zilberstein:
Reports of the 2018 AAAI Fall Symposium. AI Mag. 40(2): 66-72 (2019) - [j38]Luis Enrique Pineda, Shlomo Zilberstein:
Probabilistic Planning with Reduced Models. J. Artif. Intell. Res. 65: 271-306 (2019) - [c152]Sandhya Saisubramanian, Shlomo Zilberstein:
Minimizing the Negative Side Effects of Planning with Reduced Models. SafeAI@AAAI 2019 - [c151]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Efficient Heuristic Search for Optimal Environment Redesign. ICAPS 2019: 246-254 - [c150]Luis Enrique Pineda, Shlomo Zilberstein:
Soft Labeling in Stochastic Shortest Path Problems. AAMAS 2019: 467-475 - [c149]Kyle Hollins Wray, Shlomo Zilberstein:
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS 2019: 2270-2272 - [c148]Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings:
Stochastic multi-agent planning with partial state models. DAI 2019: 1:1-1:8 - [c147]Abhishek Dwaraki, Richard G. Freedman, Shlomo Zilberstein, Tilman Wolf:
Using Natural Language Constructs and Concepts to Aid Network Management. ICNC 2019: 802-808 - [c146]Kyle Hollins Wray, Shlomo Zilberstein:
Generalized Controllers in POMDP Decision-Making. ICRA 2019: 7166-7172 - [c145]Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Belief Space Metareasoning for Exception Recovery. IROS 2019: 1224-1229 - [c144]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. IROS 2019: 1649-1654 - [c143]Sandhya Saisubramanian, Shlomo Zilberstein:
Adaptive Outcome Selection for Planning with Reduced Models. IROS 2019: 1655-1660 - [c142]Sandhya Saisubramanian, Connor Basich, Shlomo Zilberstein, Claudia V. Goldman:
Satisfying Social Preferences in Ridesharing Services. ITSC 2019: 3720-3725 - [i23]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Lexicographically Ordered Multi-Objective Clustering. CoRR abs/1903.00750 (2019) - [i22]Sandhya Saisubramanian, Shlomo Zilberstein:
Minimizing the Negative Side Effects of Planning with Reduced Models. CoRR abs/1905.09355 (2019) - [i21]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Responsive Planning and Recognition for Closed-Loop Interaction. CoRR abs/1909.06427 (2019) - [i20]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR abs/1912.07820 (2019) - 2018
- [c141]Richard Gabriel Freedman, Shlomo Zilberstein:
Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. AAAI Workshops 2018: 547-551 - [c140]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. AAAI Workshops 2018: 601-606 - [c139]Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein:
Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI 2018: 4751-4758 - [c138]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Privacy-Preserving Policy Iteration for Decentralized POMDPs. AAAI 2018: 4759-4766 - [c137]Sandhya Saisubramanian, Shlomo Zilberstein, Prashant J. Shenoy:
Planning Using a Portfolio of Reduced Models. AAMAS 2018: 2057-2059 - [c136]Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein:
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI 2018: 1499-1505 - [i19]Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein:
An Anytime Algorithm for Task and Motion MDPs. CoRR abs/1802.05835 (2018) - [i18]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. CoRR abs/1810.08159 (2018) - 2017
- [c135]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Fast SSP Solvers Using Short-Sighted Labeling. AAAI 2017: 3629-3635 - [c134]XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. AAAI 2017: 4545-4551 - [c133]Richard G. Freedman, Shlomo Zilberstein:
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. AAAI 2017: 4581-4588 - [c132]Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI 2017: 4947-4948 - [c131]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops 2017 - [c130]Richard G. Freedman, Shlomo Zilberstein:
Does the Human's Representation Matter for Unsupervised Activity Recognition? AAAI Fall Symposia 2017: 94-98 - [c129]Haochong Zhang, Rongyun Cao, Shlomo Zilberstein, Feng Wu, Xiaoping Chen:
Toward Effective Soft Robot Control via Reinforcement Learning. ICIRA (1) 2017: 173-184 - [c128]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Multi-Agent Planning with Baseline Regret Minimization. IJCAI 2017: 444-450 - [c127]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI 2017: 4353-4360 - [c126]Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Online Decision-Making for Scalable Autonomous Systems. IJCAI 2017: 4768-4774 - [c125]Kyle Hollins Wray, Shlomo Zilberstein:
Approximating reachable belief points in POMDPs. IROS 2017: 117-122 - [i17]Luis Enrique Pineda, Shlomo Zilberstein:
Generalizing the Role of Determinization in Probabilistic Planning. CoRR abs/1705.07381 (2017) - 2016
- [c124]Kyle Hollins Wray, Shlomo Zilberstein:
A POMDP Formulation of Proactive Learning. AAAI 2016: 3202-3208 - [c123]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Optimizing Resilience in Large Scale Networks. AAAI 2016: 3922-3928 - [c122]Richard G. Freedman, Shlomo Zilberstein:
Safety in AI-HRI: Challenges Complementing User Experience Quality. AAAI Fall Symposia 2016 - [c121]Akshat Kumar, Hala Mostafa, Shlomo Zilberstein:
Dual Formulations for Optimizing Dec-POMDP Controllers. ICAPS 2016: 202-210 - [c120]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). AAMAS 2016: 1285-1286 - [c119]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI 2016: 517-523 - [c118]Kyle Hollins Wray, Dirk Ruiken, Roderic A. Grupen, Shlomo Zilberstein:
Log-space harmonic function path planning. IROS 2016: 1511-1516 - [i16]XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. CoRR abs/1612.00104 (2016) - 2015
- [j37]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Probabilistic Inference Techniques for Scalable Multiagent Decision Making. J. Artif. Intell. Res. 53: 223-270 (2015) - [c117]Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell:
Tractability of Planning with Loops. AAAI 2015: 3393-3401 - [c116]Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib:
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. AAAI 2015: 3418-3424 - [c115]Shlomo Zilberstein:
Building Strong Semi-Autonomous Systems. AAAI 2015: 4088-4092 - [c114]Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Temporal and Object Relations in Unsupervised Plan and Activity Recognition. AAAI Fall Symposia 2015: 51-59 - [c113]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. AAAI Fall Symposia 2015: 63-68 - [c112]Kyle Hollins Wray, Shlomo Zilberstein:
A Parallel Point-Based POMDP Algorithm Leveraging GPUs. AAAI Fall Symposia 2015: 95-96 - [c111]Akshat Kumar, Shlomo Zilberstein:
History-Based Controller Design and Optimization for Partially Observable MDPs. ICAPS 2015: 156-164 - [c110]Luis Enrique Pineda, Takeshi Takahashi, Hee-Tae Jung, Shlomo Zilberstein, Roderic A. Grupen:
Continual planning for search and rescue robots. Humanoids 2015: 243-248 - [c109]Kyle Hollins Wray, Shlomo Zilberstein:
Multi-Objective POMDPs with Lexicographic Reward Preferences. IJCAI 2015: 1719-1725 - [c108]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Fast Combinatorial Algorithm for Optimizing the Spread of Cascades. IJCAI 2015: 2655-2661 - [c107]Hee-Tae Jung, Richard G. Freedman, Tammie Foster, Yu-Kyong Choe, Shlomo Zilberstein, Roderic A. Grupen:
Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation. IUI 2015: 432-436 - [e2]Ronen I. Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein:
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, ICAPS 2015, Jerusalem, Israel, June 7-11, 2015. AAAI Press 2015, ISBN 978-1-57735-731-5 [contents] - 2014
- [c106]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Rounded Dynamic Programming for Tree-Structured Stochastic Network Design. AAAI 2014: 479-485 - [c105]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI 2014: 1447-1455 - [c104]Richard Gabriel Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Temporal and Object Relations in Plan and Activity Recognition for Robots Using Topic Models. AAAI Fall Symposia 2014 - [c103]Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Plan and Activity Recognition from a Topic Modeling Perspective. ICAPS 2014 - [c102]Luis Enrique Pineda, Shlomo Zilberstein:
Planning Under Uncertainty Using Reduced Models: Revisiting Determinization. ICAPS 2014 - [c101]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS 2014: 1341-1342 - [c100]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Stochastic Network Design in Bidirected Trees. NIPS 2014: 882-890 - [i15]Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein:
Policy Iteration for Decentralized Control of Markov Decision Processes. CoRR abs/1401.3460 (2014) - [i14]Marek Petrik, Shlomo Zilberstein:
A Bilinear Programming Approach for Multiagent Planning. CoRR abs/1401.3461 (2014) - 2013
- [c99]Ronen I. Brafman, Guy Shani, Shlomo Zilberstein:
Qualitative Planning under Partial Observability in Multi-Agent Domains. AAAI 2013: 130-137 - [c98]Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings:
Monte-Carlo Expectation Maximization for Decentralized POMDPs. IJCAI 2013: 397-403 - [c97]William Yeoh, Akshat Kumar, Shlomo Zilberstein:
Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs. IJCAI 2013: 411-417 - [c96]Luis Enrique Pineda, Yi Lu, Shlomo Zilberstein, Claudia V. Goldman:
Fault-Tolerant Planning under Uncertainty. IJCAI 2013: 2350-2356 - [c95]XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Parameter Learning for Latent Network Diffusion. IJCAI 2013: 2923-2930 - [i13]Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman:
The Complexity of Decentralized Control of Markov Decision Processes. CoRR abs/1301.3836 (2013) - 2012
- [j36]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Applicability conditions for plans with loops: Computability results and algorithms. Artif. Intell. 191-192: 1-19 (2012) - [c94]Akshat Kumar, XiaoJian Wu, Shlomo Zilberstein:
Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning. AAAI 2012: 309-315 - [c93]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Message-Passing Algorithms for MAP Estimation Using DC Programming. AISTATS 2012: 656-664 - [p2]Marek Petrik, Shlomo Zilberstein:
Learning Feature-Based Heuristic Functions. Autonomous Search 2012: 269-305 - [i12]Akshat Kumar, Shlomo Zilberstein:
Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. CoRR abs/1202.3739 (2012) - [i11]Akshat Kumar, Shlomo Zilberstein:
Anytime Planning for Decentralized POMDPs using Expectation Maximization. CoRR abs/1203.3490 (2012) - [i10]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Rollout Sampling Policy Iteration for Decentralized POMDPs. CoRR abs/1203.3528 (2012) - [i9]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Optimizing Memory-Bounded Controllers for Decentralized POMDPs. CoRR abs/1206.5258 (2012) - [i8]Sven Seuken, Shlomo Zilberstein:
Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. CoRR abs/1206.5295 (2012) - [i7]Daniel Szer, François Charpillet, Shlomo Zilberstein:
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. CoRR abs/1207.1359 (2012) - [i6]Zhengzhu Feng, Shlomo Zilberstein:
Region-Based Incremental Pruning for POMDPs. CoRR abs/1207.4116 (2012) - [i5]Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein:
Symbolic Generalization for On-line Planning. CoRR abs/1212.2459 (2012) - 2011
- [j35]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Online planning for multi-agent systems with bounded communication. Artif. Intell. 175(2): 487-511 (2011) - [j34]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
A new representation and associated algorithms for generalized planning. Artif. Intell. 175(2): 615-647 (2011) - [j33]Marek Petrik, Shlomo Zilberstein:
Robust Approximate Bilinear Programming for Value Function Approximation. J. Mach. Learn. Res. 12: 3027-3063 (2011) - [c92]Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner:
Qualitative Numeric Planning. AAAI 2011: 1010-1016 - [c91]Marek Petrik, Shlomo Zilberstein:
Linear Dynamic Programs for Resource Management. AAAI 2011: 1377-1383 - [c90]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Termination and Correctness Analysis of Cyclic Control. AAAI 2011: 1567-1570 - [c89]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein, Tianjiao Zhang:
Directed Search for Generalized Plans Using Classical Planners. ICAPS 2011 - [c88]XiaoJian Wu, Akshat Kumar, Shlomo Zilberstein:
Influence Diagrams with Memory States: Representation and Algorithms. ADT 2011: 306-319 - [c87]Alan Carlin, Shlomo Zilberstein:
Decentralized monitoring of distributed anytime algorithms. AAMAS 2011: 157-164 - [c86]Akshat Kumar, Shlomo Zilberstein:
Message-passing algorithms for large structured decentralized POMDPs. AAMAS 2011: 1087-1088 - [c85]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Online Planning for Ad Hoc Autonomous Agent Teams. IJCAI 2011: 439-445 - [c84]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Scalable Multiagent Planning Using Probabilistic Inference. IJCAI 2011: 2140-2146 - [c83]Akshat Kumar, Shlomo Zilberstein:
Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. UAI 2011: 428-435 - [p1]Shlomo Zilberstein:
Metareasoning and Bounded Rationality. Metareasoning 2011: 27-40 - [i4]Claudia V. Goldman, Shlomo Zilberstein:
Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis. CoRR abs/1107.0047 (2011) - [i3]Claudia V. Goldman, Shlomo Zilberstein:
Communication-Based Decomposition Mechanisms for Decentralized MDPs. CoRR abs/1111.0065 (2011) - 2010
- [j32]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs. Auton. Agents Multi Agent Syst. 21(3): 293-320 (2010) - [c82]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Trial-Based Dynamic Programming for Multi-Agent Planning. AAAI 2010: 908-914 - [c81]Christopher Amato, Blai Bonet, Shlomo Zilberstein:
Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs. AAAI 2010: 1052-1058 - [c80]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Computing Applicability Conditions for Plans with Loops. ICAPS 2010: 161-168 - [c79]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Point-based policy generation for decentralized POMDPs. AAMAS 2010: 1307-1314 - [c78]Akshat Kumar, Shlomo Zilberstein:
Point-based backup for decentralized POMDPs: complexity and new algorithms. AAMAS 2010: 1315-1322 - [c77]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Merging example plans into generalized plans for non-deterministic environments. AAMAS 2010: 1341-1348 - [c76]Abdel-Illah Mouaddib, Shlomo Zilberstein, Aurélie Beynier, Laurent Jeanpierre:
A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy. ECAI 2010: 971-972 - [c75]Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein:
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. ICML 2010: 871-878 - [c74]Akshat Kumar, Shlomo Zilberstein:
MAP Estimation for Graphical Models by Likelihood Maximization. NIPS 2010: 1180-1188 - [c73]Akshat Kumar, Shlomo Zilberstein:
Anytime Planning for Decentralized POMDPs using Expectation Maximization. UAI 2010: 294-301 - [c72]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Rollout Sampling Policy Iteration for Decentralized POMDPs. UAI 2010: 666-673 - [i2]Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein:
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. CoRR abs/1005.1860 (2010) - [i1]Marek Petrik, Shlomo Zilberstein:
Global Optimization for Value Function Approximation. CoRR abs/1006.2743 (2010)
2000 – 2009
- 2009
- [j31]Raphen Becker, Alan Carlin, Victor R. Lesser, Shlomo Zilberstein:
Analyzing Myopic Approaches for Multi-Agent Communication. Comput. Intell. 25(1): 31-50 (2009) - [j30]Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein:
Policy Iteration for Decentralized Control of Markov Decision Processes. J. Artif. Intell. Res. 34: 89-132 (2009) - [j29]Marek Petrik, Shlomo Zilberstein:
A Bilinear Programming Approach for Multiagent Planning. J. Artif. Intell. Res. 35: 235-274 (2009) - [c71]Christopher Amato, Jilles Steeve Dibangoye, Shlomo Zilberstein:
Incremental Policy Generation for Finite-Horizon DEC-POMDPs. ICAPS 2009 - [c70]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Multi-Agent Online Planning with Communication. ICAPS 2009 - [c69]Akshat Kumar, Shlomo Zilberstein:
Constraint-based dynamic programming for decentralized POMDPs with structured interactions. AAMAS (1) 2009: 561-568 - [c68]Christopher Amato, Shlomo Zilberstein:
Achieving goals in decentralized POMDPs. AAMAS (1) 2009: 593-600 - [c67]Akshat Kumar, Shlomo Zilberstein:
Dynamic Programming Approximations for Partially Observable Stochastic Games. FLAIRS 2009 - [c66]Daniel Sadoc Menasché, Giovanni Neglia, Don Towsley, Shlomo Zilberstein:
Strategic reasoning about bundling in swarming systems. GAMENETS 2009: 611-620 - [c65]Martin Allen, Shlomo Zilberstein:
Agent Influence and Intelligent Approximation in Multiagent Problems. IAT 2009: 311-314 - [c64]Alan Carlin, Shlomo Zilberstein:
Myopic and Non-myopic Communication under Partial Observability. IAT 2009: 331-338 - [c63]Marek Petrik, Shlomo Zilberstein:
Constraint relaxation in approximate linear programs. ICML 2009: 809-816 - [c62]Akshat Kumar, Shlomo Zilberstein:
Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations. IJCAI 2009: 201-207 - [c61]Martin Allen, Shlomo Zilberstein:
Complexity of Decentralized Control: Special Cases. NIPS 2009: 19-27 - [c60]Marek Petrik, Shlomo Zilberstein:
Robust Value Function Approximation Using Bilinear Programming. NIPS 2009: 1446-1454 - [c59]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Abstract Planning with Unknown Object Quantities and Properties. SARA 2009 - 2008
- [j28]Sven Seuken, Shlomo Zilberstein:
Formal models and algorithms for decentralized decision making under uncertainty. Auton. Agents Multi Agent Syst. 17(2): 190-250 (2008) - [j27]Claudia V. Goldman, Shlomo Zilberstein:
Communication-Based Decomposition Mechanisms for Decentralized MDPs. J. Artif. Intell. Res. 32: 169-202 (2008) - [c58]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Learning Generalized Plans Using Abstract Counting. AAAI 2008: 991-997 - [c57]Martin Allen, Marek Petrik, Shlomo Zilberstein:
Interaction Structure and Dimensionality Reduction in Decentralized MDPs. AAAI 2008: 1440-1441 - [c56]Marek Petrik, Shlomo Zilberstein:
Learning Heuristic Functions through Approximate Linear Programming. ICAPS 2008: 248-255 - [c55]Alan Carlin, Shlomo Zilberstein:
Value-based observation compression for DEC-POMDPs. AAMAS (1) 2008: 501-508 - [c54]Marek Petrik, Shlomo Zilberstein:
A Successive Approximation Algorithm for Coordination Problems. ISAIM 2008 - [c53]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Using Abstraction for Generalized Planning. ISAIM 2008 - 2007
- [j26]Claudia V. Goldman, Martin Allen, Shlomo Zilberstein:
Learning to communicate in a decentralized environment. Auton. Agents Multi Agent Syst. 15(1): 47-90 (2007) - [j25]Daniel Szer, François Charpillet, Shlomo Zilberstein:
Résolution optimale de DEC-POMDPs par recherche heuristique. Rev. d'Intelligence Artif. 21(1): 107-128 (2007) - [c52]Martin Allen, Shlomo Zilberstein:
Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving. AAAI 2007: 688-693 - [c51]Marek Petrik, Shlomo Zilberstein:
Anytime Coordination Using Separable Bilinear Programs. AAAI 2007: 750-755 - [c50]Marek Petrik, Shlomo Zilberstein:
Average-Reward Decentralized Markov Decision Processes. IJCAI 2007: 1997-2002 - [c49]Sven Seuken, Shlomo Zilberstein:
Memory-Bounded Dynamic Programming for DEC-POMDPs. IJCAI 2007: 2009-2015 - [c48]Ron Bekkerman, Shlomo Zilberstein, James Allan:
Web Page Clustering Using Heuristic Search in the Web Graph. IJCAI 2007: 2280-2285 - [c47]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Solving POMDPs Using Quadratically Constrained Linear Programs. IJCAI 2007: 2418-2424 - [c46]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Optimizing Memory-Bounded Controllers for Decentralized POMDPs. UAI 2007: 1-8 - [c45]Sven Seuken, Shlomo Zilberstein:
Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. UAI 2007: 344-351 - 2006
- [j24]Shlomo Zilberstein:
Preface. Ann. Math. Artif. Intell. 47(3-4): 221 (2006) - [j23]Marek Petrik, Shlomo Zilberstein:
Learning parallel portfolios of algorithms. Ann. Math. Artif. Intell. 48(1-2): 85-106 (2006) - [c44]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Solving POMDPs using quadratically constrained linear programs. AAMAS 2006: 341-343 - [c43]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein:
Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. AI&M 2006 - [c42]Marek Petrik, Shlomo Zilberstein:
Learning Static Parallel Portfolios of Algorithms. AI&M 2006 - 2005
- [c41]Zhengzhu Feng, Shlomo Zilberstein:
Efficient Maximization in Solving POMDPs. AAAI 2005: 975-980 - [c40]Raphen Becker, Victor R. Lesser, Shlomo Zilberstein:
Analyzing Myopic Approaches for Multi-Agent Communication. IAT 2005: 550-557 - [c39]Daniel S. Bernstein, Eric A. Hansen, Shlomo Zilberstein:
Bounded Policy Iteration for Decentralized POMDPs. IJCAI 2005: 1287-1292 - [c38]Martin Allen, Claudia V. Goldman, Shlomo Zilberstein:
Language Learning in Multi-Agent Systems. IJCAI 2005: 1649-1650 - [c37]Natalia N. Beliaeva, Shlomo Zilberstein:
Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains. SARA 2005: 14-29 - [c36]Daniel Szer, François Charpillet, Shlomo Zilberstein:
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. UAI 2005: 576-590 - 2004
- [j22]Shlomo Zilberstein, Jana Koehler, Sven Koenig:
The Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04). AI Mag. 25(4): 101-104 (2004) - [j21]Claudia V. Goldman, Shlomo Zilberstein:
Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis. J. Artif. Intell. Res. 22: 143-174 (2004) - [j20]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman:
Solving Transition Independent Decentralized Markov Decision Processes. J. Artif. Intell. Res. 22: 423-455 (2004) - [j19]Andrew Arnt, Shlomo Zilberstein, James Allan, Abdel-Illah Mouaddib:
Dynamic Composition of Information Retrieval Techniques. J. Intell. Inf. Syst. 23(1): 67-97 (2004) - [c35]Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilberstein:
Dynamic Programming for Partially Observable Stochastic Games. AAAI 2004: 709-715 - [c34]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser:
Decentralized Markov Decision Processes with Event-Driven Interactions. AAMAS 2004: 302-309 - [c33]Claudia V. Goldman, Martin Allen, Shlomo Zilberstein:
Decentralized Language Learning through Acting. AAMAS 2004: 1006-1013 - [c32]Martin Allen, Shlomo Zilberstein:
Automated Conversion and Simplification of Plan Representations. AAMAS 2004: 1272-1273 - [c31]Andrew Arnt, Shlomo Zilberstein:
Attribute Measurement Policies for Time and Cost Sensitive Classification. ICDM 2004: 323-326 - [c30]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman:
Cost and Information-Driven Algorithm Selection for Vision Systems. ICIAR (1) 2004: 519-529 - [c29]Jianbin Tan, George S. Avrunin, Lori A. Clarke, Shlomo Zilberstein, Stefan Leue:
Heuristic-guided counterexample search in FLAVERS. SIGSOFT FSE 2004: 201-210 - [c28]Zhengzhu Feng, Shlomo Zilberstein:
Region-Based Incremental Pruning for POMDPs. UAI 2004: 146-153 - [e1]Shlomo Zilberstein, Jana Koehler, Sven Koenig:
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), June 3-7 2004, Whistler, British Columbia, Canada. AAAI 2004, ISBN 1-57735-200-9 [contents] - 2003
- [j18]Shlomo Zilberstein, François Charpillet, Philippe Chassaing:
Optimal Sequencing of Contract Algorithms. Ann. Math. Artif. Intell. 39(1-2): 1-18 (2003) - [j17]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman:
Decision Making and Uncertainty Management in a 3D Reconstruction System. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 852-858 (2003) - [c27]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman:
Transition-independent decentralized markov decision processes. AAMAS 2003: 41-48 - [c26]Claudia V. Goldman, Shlomo Zilberstein:
Optimizing information exchange in cooperative multi-agent systems. AAMAS 2003: 137-144 - [c25]Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilberstein:
Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems. IJCAI 2003: 1211-1217 - [c24]Max Horstmann, Shlomo Zilberstein:
Automated Generation of Understandable Contingency Plans. IJCAI 2003: 1518-1519 - [c23]Daniel S. Bernstein, Zhengzhu Feng, Brian Neil Levine, Shlomo Zilberstein:
Adaptive Peer Selection. IPTPS 2003: 237-246 - [c22]Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein:
Symbolic Generalization for On-line Planning. UAI 2003: 209-216 - [c21]Andrew Arnt, Shlomo Zilberstein:
Learning to Perform Moderation in Online Forums. Web Intelligence 2003: 637-641 - 2002
- [j16]Daniel S. Bernstein, Robert Givan, Neil Immerman, Shlomo Zilberstein:
The Complexity of Decentralized Control of Markov Decision Processes. Math. Oper. Res. 27(4): 819-840 (2002) - [c20]Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein, Lev Finkelstein:
Scheduling Contract Algorithms on Multiple Processors. AAAI/IAAI 2002: 702-706 - 2001
- [j15]Eric Horvitz, Shlomo Zilberstein:
Computational tradeoffs under bounded resources. Artif. Intell. 126(1-2): 1-4 (2001) - [j14]Eric A. Hansen, Shlomo Zilberstein:
Monitoring and control of anytime algorithms: A dynamic programming approach. Artif. Intell. 126(1-2): 139-157 (2001) - [j13]Eric A. Hansen, Shlomo Zilberstein:
LAO*: A heuristic search algorithm that finds solutions with loops. Artif. Intell. 129(1-2): 35-62 (2001) - [j12]Shlomo Zilberstein:
Reasoning about Rational Agents: A Review. AI Mag. 22(4): 146-148 (2001) - [c19]Ping Xuan, Victor R. Lesser, Shlomo Zilberstein:
Communication decisions in multi-agent cooperation: model and experiments. Agents 2001: 616-623 - [c18]Shlomo Zilberstein, Richard Washington, Daniel S. Bernstein, Abdel-Illah Mouaddib:
Decision-Theoretic Control of Planetary Rovers. Advances in Plan-Based Control of Robotic Agents 2001: 270-289 - [c17]Stéphane Cardon, Abdel-Illah Mouaddib, Shlomo Zilberstein, Richard Washington:
Adaptive Control of Acyclic Progressive Processing Task Structures. IJCAI 2001: 701-706 - 2000
- [j11]David J. Musliner, Barney Pell, Wolff Dobson, Kai Goebel, Gautam Biswas, Sheila A. McIlraith, Giuseppina C. Gini, Sven Koenig, Shlomo Zilberstein, Weixiong Zhang:
Reports on the AAAI Spring Symposia (March 1999). AI Mag. 21(2): 79-84 (2000) - [j10]Shlomo Zilberstein, Abdel-Illah Mouaddib:
Optimal scheduling of progressive processing tasks. Int. J. Approx. Reason. 25(3): 169-186 (2000) - [j9]Joshua W. Grass, Shlomo Zilberstein:
A Value-Driven System for Autonomous Information Gathering. J. Intell. Inf. Syst. 14(1): 5-27 (2000) - [c16]Ping Xuan, Victor R. Lesser, Shlomo Zilberstein:
Communication in Multi-Agent Markov Decision Processes. ICMAS 2000: 467-468 - [c15]Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew Arnt:
Dynamic Scheduling of Progressive Processing Plans. PuK 2000 - [c14]Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman:
The Complexity of Decentralized Control of Markov Decision Processes. UAI 2000: 32-37
1990 – 1999
- 1999
- [c13]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman:
Control in a 3D Reconstruction System using Selective Perception. ICCV 1999: 1229-1236 - [c12]Shlomo Zilberstein, François Charpillet, Philippe Chassaing:
Real-Time Problem-Solving with Contract Algorithms. IJCAI 1999: 1008-1015 - [c11]Shlomo Zilberstein, Abdel-Illah Mouaddib:
Reactive Control of Dynamic Progressive Processing. IJCAI 1999: 1268-1273 - 1998
- [c10]Eric A. Hansen, Shlomo Zilberstein:
Heuristic Search in Cyclic AND/OR Graphs. AAAI/IAAI 1998: 412-418 - [c9]Abdel-Illah Mouaddib, Shlomo Zilberstein:
Optimal Scheduling of Dynamic Progressive Processing. ECAI 1998: 499-503 - 1997
- [c8]Abdel-Illah Mouaddib, Shlomo Zilberstein:
Handling Duration Uncertainty in Meta-Level Control of Progressive Processing. IJCAI 1997: 1201-1207 - 1996
- [j8]Shlomo Zilberstein, Stuart Russell:
Optimal Composition of Real-Time Systems. Artif. Intell. 82(1-2): 181-213 (1996) - [j7]Shlomo Zilberstein:
Using Anytime Algorithms in Intelligent Systems. AI Mag. 17(3): 73-83 (1996) - [j6]Shlomo Zilberstein:
Resource-bounded sensing and planning in autonomous systems. Auton. Robots 3(1): 31-48 (1996) - [j5]Shlomo Zilberstein:
Resource-Bounded Reasoning in Intelligent Systems. ACM Comput. Surv. 28(4es): 15 (1996) - [j4]Joshua W. Grass, Shlomo Zilberstein:
Anytime Algorithm Development Tools. SIGART Bull. 7(2): 20-27 (1996) - [j3]Eric A. Hansen, Shlomo Zilberstein:
Monitoring Anytime Algorithms. SIGART Bull. 7(2): 28-33 (1996) - [c7]Eric A. Hansen, Shlomo Zilberstein:
Monitoring the Progress of Anytime Problem-Solving. AAAI/IAAI, Vol. 2 1996: 1229-1234 - [c6]Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein:
Reinforcement Learning for Mixed Open-loop and Closed-loop Control. NIPS 1996: 1026-1032 - 1995
- [j2]Shlomo Zilberstein:
Operational Rationality through Compilation of Anytime Algorithms. AI Mag. 16(2): 79-80 (1995) - [j1]Shlomo Zilberstein:
The Utility of Planning. SIGART Bull. 6(1): 42-47 (1995) - [c5]Abdel-Illah Mouaddib, Shlomo Zilberstein:
Knowledge-Based Anytime Computation. IJCAI 1995: 775-783 - [c4]Shlomo Zilberstein:
Optimizing Decision Quality with Contract Algorithms. IJCAI 1995: 1576-1582 - 1994
- [c3]Shlomo Zilberstein:
Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach. ISMIS 1994: 114-123 - 1993
- [c2]Shlomo Zilberstein, Stuart Russell:
Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI 1993: 1402-1407 - 1991
- [c1]Stuart J. Russell, Shlomo Zilberstein:
Composing Real-Time Systems. IJCAI 1991: 212-217
Coauthor Index
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