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ORCIDGeorge Dimitri Konidaris
George Konidaris 0001
Person information
- affiliation: Brown University, Providence, RI, USA
Other persons with the same name
- George Konidaris 0002 — Athens University of Economics and Business, Greece
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2020 – today
- 2024
[j21]Rafael Rodríguez-Sánchez, George Konidaris:
Learning Abstract World Models for Value-preserving Planning with Options. RLJ 4: 1733-1758 (2024)- [c105]Qi Zhao, Haotian Fu, Chen Sun, George Konidaris:
EPO: Hierarchical LLM Agents with Environment Preference Optimization. EMNLP 2024: 6401-6415 - [c104]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. ICML 2024 - [c103]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. ICML 2024 - [c102]Max Merlin, Shane Parr, Neev Parikh, Sergio Orozco, Vedant Gupta, Eric Rosen, George Konidaris:
Robot Task Planning Under Local Observability. ICRA 2024: 1362-1368 - [c101]Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex:
Skill Transfer for Temporal Task Specification. ICRA 2024: 2535-2541 - [c100]Ben Abbatematteo, Eric Rosen, Skye Thompson, Tuluhan Akbulut, Sreehari Rammohan, George Dimitri Konidaris:
Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. ICRA 2024: 7522-7529 - [c99]Jason Xinyu Liu, Ankit Shah, George Konidaris, Stefanie Tellex, David Paulius:
Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models. IROS 2024: 2325-2332 - [i65]Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris:
Verifiably Following Complex Robot Instructions with Foundation Models. CoRR abs/2402.11498 (2024) - [i64]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. CoRR abs/2402.16354 (2024) - [i63]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. CoRR abs/2404.03037 (2024) - [i62]Rafael Rodríguez-Sánchez, George Konidaris:
Learning Abstract World Model for Value-preserving Planning with Options. CoRR abs/2406.15850 (2024) - [i61]Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris:
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR abs/2407.07333 (2024) - [i60]Qi Zhao, Haotian Fu, Chen Sun, George Konidaris:
EPO: Hierarchical LLM Agents with Environment Preference Optimization. CoRR abs/2408.16090 (2024) - [i59]David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris:
Bootstrapping Object-level Planning with Large Language Models. CoRR abs/2409.12262 (2024) - [i58]Andrew Levy, Alessandro Allievi, George Konidaris:
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator. CoRR abs/2410.11155 (2024) - [i57]Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris:
Skill Generalization with Verbs. CoRR abs/2410.14118 (2024) - 2023
- [j20]Adam Pacheck
, Steven James, George Dimitri Konidaris, Hadas Kress-Gazit:
Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. 42(4-5): 263-288 (2023) - [j19]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c98]Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris:
Q-functionals for Value-Based Continuous Control. AAAI 2023: 8932-8939 - [c97]Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS 2023: 1390-1410 - [c96]Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris:
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL 2023: 2278-2287 - [c95]Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris:
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR 2023 - [c94]Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris:
Meta-learning Parameterized Skills. ICML 2023: 10461-10481 - [c93]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. ICML 2023: 22594-22613 - [c92]Rafael Rodríguez-Sánchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris:
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents. ICML 2023: 29161-29178 - [c91]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS 2023: 3672-3679 - [c90]Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris:
Skill Generalization with Verbs. IROS 2023: 5844-5851 - [c89]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. IROS 2023: 7976-7983 - [c88]Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris:
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. NeurIPS 2023 - [i56]Saket Tiwari, George Konidaris:
Effects of Data Geometry in Early Deep Learning. CoRR abs/2301.00008 (2023) - [i55]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i54]Benedict Quartey, Ankit Shah, George Konidaris:
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks. CoRR abs/2303.05038 (2023) - [i53]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. CoRR abs/2306.03186 (2023) - [i52]Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris:
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. CoRR abs/2307.02728 (2023) - [i51]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. CoRR abs/2310.02462 (2023) - [i50]William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James:
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR abs/2312.12891 (2023) - 2022
- [j18]Barrett Ames, Jeremy Morgan, George Dimitri Konidaris:
IKFlow: Generating Diverse Inverse Kinematics Solutions. IEEE Robotics Autom. Lett. 7(3): 7177-7184 (2022) - [c87]Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris:
Optimistic Initialization for Exploration in Continuous Control. AAAI 2022: 7612-7619 - [c86]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c85]Matthew Berg, George Konidaris, Stefanie Tellex:
Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments. ICRA 2022: 1888-1895 - [c84]Seiji Shaw, Ben Abbatematteo, George Konidaris:
RMPs for Safe Impedance Control in Contact-Rich Manipulation. ICRA 2022: 2707-2713 - [c83]Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris:
Generalizing to New Domains by Mapping Natural Language to Lifted LTL. ICRA 2022: 3624-3630 - [c82]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. ICRA 2022: 7313-7319 - [c81]Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie:
Learning to Infer Kinematic Hierarchies for Novel Object Instances. ICRA 2022: 8461-8467 - [c80]Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS 2022 - [c79]Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS 2022 - [c78]Saket Tiwari, George Konidaris:
Effects of Data Geometry in Early Deep Learning. NeurIPS 2022 - [i49]Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris:
Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. CoRR abs/2203.10616 (2022) - [i48]Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR abs/2204.08327 (2022) - [i47]Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris:
Adaptive Online Value Function Approximation with Wavelets. CoRR abs/2204.11842 (2022) - [i46]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Abstract and Transferable Representations for Planning. CoRR abs/2205.02092 (2022) - [i45]Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris:
Characterizing the Action-Generalization Gap in Deep Q-Learning. CoRR abs/2205.05588 (2022) - [i44]Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman:
Meta-Learning Transferable Parameterized Skills. CoRR abs/2206.03597 (2022) - [i43]Jason Xinyu Liu, Ankit Shah, Eric Rosen, George Konidaris, Stefanie Tellex:
Skill Transfer for Temporally-Extended Task Specifications. CoRR abs/2206.05096 (2022) - [i42]Rafael Rodríguez-Sánchez, Benjamin A. Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris:
RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning. CoRR abs/2208.06448 (2022) - [i41]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR abs/2209.14461 (2022) - [i40]Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR abs/2210.11579 (2022) - [i39]Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR abs/2211.14673 (2022) - 2021
- [j17]Oliver Kroemer, Scott Niekum, George Konidaris:
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. J. Mach. Learn. Res. 22: 30:1-30:82 (2021) - [c77]Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep Radial-Basis Value Functions for Continuous Control. AAAI 2021: 6696-6704 - [c76]Josh Roy, George Dimitri Konidaris:
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. AAAI 2021: 9454-9462 - [c75]Akhil Bagaria, Jason K. Senthil, George Konidaris:
Skill Discovery for Exploration and Planning using Deep Skill Graphs. ICML 2021: 521-531 - [c74]Bingjie Tang, Matthew Corsaro, George Konidaris, Stefanos Nikolaidis, Stefanie Tellex:
Learning Collaborative Pushing and Grasping Policies in Dense Clutter. ICRA 2021: 6177-6184 - [c73]Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris:
Robustly Learning Composable Options in Deep Reinforcement Learning. IJCAI 2021: 2161-2169 - [c72]Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI 2021: 4024-4031 - [c71]Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. IROS 2021: 2022-2029 - [c70]Matt Corsaro, Stefanie Tellex, George Dimitri Konidaris:
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. IROS 2021: 4647-4653 - [c69]Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris:
Bootstrapping Motor Skill Learning with Motion Planning. IROS 2021: 4926-4933 - [c68]Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris:
Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS 2021: 8229-8241 - [i38]Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris:
Bootstrapping Motor Skill Learning with Motion Planning. CoRR abs/2101.04736 (2021) - [i37]Matt Corsaro, Stefanie Tellex, George Konidaris:
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. CoRR abs/2106.03919 (2021) - [i36]Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris:
Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR abs/2106.04379 (2021) - [i35]Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris:
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. CoRR abs/2107.13356 (2021) - [i34]Willie McClinton, Andrew Levy, George Konidaris:
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. CoRR abs/2108.05872 (2021) - [i33]Seiji Shaw, Ben Abbatematteo, George Konidaris:
RMPs for Safe Impedance Control in Contact-Rich Manipulation. CoRR abs/2109.12103 (2021) - [i32]Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris:
Generalizing to New Domains by Mapping Natural Language to Lifted LTL. CoRR abs/2110.05603 (2021) - [i31]Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie:
Learning to Infer Kinematic Hierarchies for Novel Object Instances. CoRR abs/2110.07911 (2021) - [i30]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. CoRR abs/2110.09991 (2021) - [i29]Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for RL in Metric Spaces. CoRR abs/2110.12276 (2021) - [i28]Benjamin A. Spiegel, George Konidaris:
Guided Policy Search for Parameterized Skills using Adverbs. CoRR abs/2110.15799 (2021) - [i27]Barrett Ames, Jeremy Morgan, George Konidaris:
IKFlow: Generating Diverse Inverse Kinematics Solutions. CoRR abs/2111.08933 (2021) - 2020
- [j16]Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt:
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration. IEEE Trans. Robotics 36(4): 1207-1218 (2020) - [c67]Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris:
Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI 2020: 13845-13846 - [c66]Akhil Bagaria, George Konidaris:
Option Discovery using Deep Skill Chaining. ICLR 2020 - [c65]Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris:
Exploration in Reinforcement Learning with Deep Covering Options. ICLR 2020 - [c64]Steven James, Benjamin Rosman, George Konidaris:
Learning Portable Representations for High-Level Planning. ICML 2020: 4682-4691 - [c63]Sean Murray, George Dimitri Konidaris, Daniel J. Sorin:
Roadmap Subsampling for Changing Environments. IROS 2020: 5664-5670 - [c62]Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex:
Building Plannable Representations with Mixed Reality. IROS 2020: 11146-11153 - [c61]Nakul Gopalan, Eric Rosen, George Konidaris, Stefanie Tellex:
Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. Robotics: Science and Systems 2020 - [i26]Kavosh Asadi, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep RBF Value Functions for Continuous Control. CoRR abs/2002.01883 (2020) - [i25]Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR abs/2004.13242 (2020) - [i24]Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. CoRR abs/2005.02878 (2020) - [i23]Josh Roy, George Konidaris:
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion. CoRR abs/2006.03465 (2020) - [i22]Eric Rosen, Stefanie Tellex, George Konidaris:
Steps Towards Best Practices For Robot Videos. CoRR abs/2007.06218 (2020) - [i21]Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris:
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR abs/2010.08869 (2020)
2010 – 2019
- 2019
- [j15]Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex:
Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays. Int. J. Robotics Res. 38(12-13) (2019) - [j14]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How:
Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. 64: 817-859 (2019) - [c60]Sean Murray, Will Floyd-Jones, George Dimitri Konidaris, Daniel J. Sorin:
A Programmable Architecture for Robot Motion Planning Acceleration. ASAP 2019: 185-188 - [c59]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. AAMAS 2019: 2060-2062 - [c58]Ben Abbatematteo, Stefanie Tellex, George Konidaris:
Learning to Generalize Kinematic Models to Novel Objects. CoRL 2019: 1289-1299 - [c57]Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko:
Learning Multi-Level Hierarchies with Hindsight. ICLR (Poster) 2019 - [c56]Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. ICML 2019: 3120-3129 - [c55]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. ICML 2019: 3130-3139 - [c54]Samir Yitzhak Gadre, Eric Rosen, Gary Chien, Elizabeth Phillips, Stefanie Tellex, George Dimitri Konidaris:
End-User Robot Programming Using Mixed Reality. ICRA 2019: 2707-2713 - [c53]Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca:
Scanning the Internet for ROS: A View of Security in Robotics Research. ICRA 2019: 8514-8521 - [c52]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. IJCAI 2019: 2733-2739 - [c51]Barrett Ames, George Dimitri Konidaris:
Bounded-Error LQR-Trees. IROS 2019: 144-150 - [c50]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS 2019: 1187-1194 - [c49]Adam Pacheck, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. ISRR 2019: 509-525 - [i20]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. CoRR abs/1903.00606 (2019) - [i19]Craig J. Bester, Steven D. James, George Dimitri Konidaris:
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR abs/1905.04388 (2019) - [i18]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. CoRR abs/1905.12006 (2019) - [i17]Benjamin Burchfiel, George Dimitri Konidaris:
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. CoRR abs/1905.12079 (2019) - [i16]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR abs/1905.13153 (2019) - [i15]Oliver Kroemer, Scott Niekum, George Dimitri Konidaris:
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. CoRR abs/1907.03146 (2019) - [i14]Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex:
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR abs/1910.10628 (2019) - 2018
- [j13]Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris:
Representing, learning, and controlling complex object interactions. Auton. Robots 42(7): 1355-1367 (2018) - [j12]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. 61: 215-289 (2018) - [c48]David Abel, Yuu Jinnai, Yue (Sophie) Guo, George Dimitri Konidaris, Michael L. Littman:
Policy and Value Transfer in Lifelong Reinforcement Learning. ICML 2018: 20-29 - [c47]Barrett Ames, Allison Thackston, George Dimitri Konidaris:
Learning Symbolic Representations for Planning with Parameterized Skills. IROS 2018: 526-533 - [c46]Benjamin Burchfiel, George Dimitri Konidaris:
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. IROS 2018: 6843-6850 - [i13]Benjamin Burchfiel, George Dimitri Konidaris:
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision. CoRR abs/1806.07872 (2018) - [i12]Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca:
Scanning the Internet for ROS: A View of Security in Robotics Research. CoRR abs/1808.03322 (2018) - [i11]Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. CoRR abs/1810.07311 (2018) - 2017
- [c45]Steven James, George Dimitri Konidaris, Benjamin Rosman:
An Analysis of Monte Carlo Tree Search. AAAI 2017: 3576-3582 - [c44]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI 2017: 4949-4950 - [c43]Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex:
Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays. ISRR 2017: 301-316 - [c42]David Whitney, Eric Rosen, Elizabeth Phillips, George Dimitri Konidaris, Stefanie Tellex:
Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality. ISRR 2017: 335-350 - [c41]Garrett Andersen, George Dimitri Konidaris:
Active Exploration for Learning Symbolic Representations. NIPS 2017: 5009-5019 - [c40]Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS 2017: 6250-6261 - [c39]Benjamin Burchfiel, George Dimitri Konidaris:
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception. Robotics: Science and Systems 2017 - [i10]Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR abs/1706.06544 (2017) - [i9]Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex:
Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays. CoRR abs/1708.03655 (2017) - [i8]Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman:
Mean Actor Critic. CoRR abs/1709.00503 (2017) - [i7]Garrett Andersen, George Dimitri Konidaris:
Active Exploration for Learning Symbolic Representations. CoRR abs/1709.01490 (2017) - 2016
- [j11]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. 35(14): 1760-1778 (2016) - [c38]Warwick Masson, Pravesh Ranchod, George Dimitri Konidaris:
Reinforcement Learning with Parameterized Actions. AAAI 2016: 1934-1940 - [c37]Finale Doshi-Velez, George Dimitri Konidaris:
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. IJCAI 2016: 1432-1440 - [c36]George Dimitri Konidaris:
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. IJCAI 2016: 1648-1654 - [c35]Sean Murray, William Floyd-Jones, Ying Qi, George Dimitri Konidaris, Daniel J. Sorin:
The microarchitecture of a real-time robot motion planning accelerator. MICRO 2016: 45:1-45:12 - [c34]Sean Murray, Will Floyd-Jones, Ying Qi, Daniel J. Sorin, George Dimitri Konidaris:
Robot Motion Planning on a Chip. Robotics: Science and Systems 2016 - [c33]Yilun Zhou, George Dimitri Konidaris:
Representing and Learning Complex Object Interactions. Robotics: Science and Systems 2016 - [i6]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR abs/1612.00475 (2016) - [i5]Tadahiro Taniguchi, Emre Ugur, George Dimitri Konidaris:
Cognitive Development and Symbol Emergence in Humans and Robots (NII Shonan Meeting 2016-14). NII Shonan Meet. Rep. 2016 (2016) - 2015
- [j10]Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang:
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36(1): 87-98 (2015) - [j9]Robert Morris, Blai Bonet, Marc Cavazza, Marie desJardins, Ariel Felner, Nick Hawes, Brad Knox, Sven Koenig, George Dimitri Konidaris, Jérôme Lang, Carlos Linares López, Daniele Magazzeni, Amy McGovern, Sriraam Natarajan, Nathan R. Sturtevant, Michael Thielscher, William Yeoh, Sebastian Sardiña, Kiri Wagstaff:
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence. AI Mag. 36(3): 99-106 (2015) - [j8]Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Sachin Chitta, Bhaskara Marthi, Andrew G. Barto:
Learning grounded finite-state representations from unstructured demonstrations. Int. J. Robotics Res. 34(2): 131-157 (2015) - [j7]Dean S. Wookey, George Dimitri Konidaris:
Regularized feature selection in reinforcement learning. Mach. Learn. 100(2-3): 655-676 (2015) - [c32]Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling:
Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia 2015: 10-12 - [c31]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for decentralized control of multiple robots under uncertainty. ICRA 2015: 1241-1248 - [c30]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Symbol Acquisition for Probabilistic High-Level Planning. IJCAI 2015: 3619-3627 - [c29]Pravesh Ranchod, Benjamin Rosman, George Dimitri Konidaris:
Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. IROS 2015: 471-477 - [c28]Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Dimitri Konidaris:
Policy Evaluation Using the Ω-Return. NIPS 2015: 334-342 - [c27]Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling:
Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems 2015 - [i4]Warwick Masson, George Dimitri Konidaris:
Reinforcement Learning with Parameterized Actions. CoRR abs/1509.01644 (2015) - [i3]George Dimitri Konidaris:
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop. CoRR abs/1509.07582 (2015) - 2014
- [c26]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Constructing Symbolic Representations for High-Level Planning. AAAI 2014: 1932-1938 - [c25]Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling:
Optimizing a Start-Stop Controller Using Policy Search. AAAI 2014: 2984-2989 - [c24]George Dimitri Konidaris, Finale Doshi-Velez:
Hidden Parameter Markov Decision Processes: An Emerging Paradigm for Modeling Families of Related Tasks. AAAI Fall Symposia 2014 - [c23]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling:
Planning with macro-actions in decentralized POMDPs. AAMAS 2014: 1273-1280 - [c22]Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto:
Active Learning of Parameterized Skills. ICML 2014: 1737-1745 - [c21]Bruno Castro da Silva, Gianluca Baldassarre, George Dimitri Konidaris, Andrew G. Barto:
Learning parameterized motor skills on a humanoid robot. ICRA 2014: 5239-5244 - [i2]Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling:
Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR abs/1402.2871 (2014) - 2013
- [j6]Vita Markman, Georgi Stojanov, Bipin Indurkhya, Takashi Kido, Keiki Takadama, George Dimitri Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar:
Reports of the 2013 AAAI Spring Symposium Series. AI Mag. 34(3): 93-98 (2013) - [j5]Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar:
The AAAI-13 Conference Workshops. AI Mag. 34(4): 9- (2013) - [c20]George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Symbol Acquisition for Task-Level Planning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [c19]Gustavo Goretkin, Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris:
Optimal sampling-based planning for linear-quadratic kinodynamic systems. ICRA 2013: 2429-2436 - [c18]George Dimitri Konidaris:
Robots, skills, and symbols. MLIS@IJCAI 2013: 9-11 - [p1]Andrew G. Barto, George Dimitri Konidaris, Christopher M. Vigorito:
Behavioral Hierarchy: Exploration and Representation. Computational and Robotic Models of the Hierarchical Organization of Behavior 2013: 13-46 - [i1]Finale Doshi-Velez, George Dimitri Konidaris:
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations. CoRR abs/1308.3513 (2013) - 2012
- [j4]Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar:
Reports of the AAAI 2012 Spring Symposia. AI Mag. 33(3): 109-114 (2012) - [j3]George Dimitri Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto:
Robot learning from demonstration by constructing skill trees. Int. J. Robotics Res. 31(3): 360-375 (2012) - [j2]George Dimitri Konidaris, Ilya Scheidwasser, Andrew G. Barto:
Transfer in Reinforcement Learning via Shared Features. J. Mach. Learn. Res. 13: 1333-1371 (2012) - [c17]Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto:
Learning Parameterized Skills. ICML 2012 - [c16]Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA 2012: 2537-2542 - [c15]Scott Niekum, Sarah Osentoski, George Dimitri Konidaris, Andrew G. Barto:
Learning and generalization of complex tasks from unstructured demonstrations. IROS 2012: 5239-5246 - 2011
- [c14]George Dimitri Konidaris, Sarah Osentoski, Philip S. Thomas:
Value Function Approximation in Reinforcement Learning Using the Fourier Basis. AAAI 2011: 380-385 - [c13]George Dimitri Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto:
Autonomous Skill Acquisition on a Mobile Manipulator. AAAI 2011: 1468-1473 - [c12]George Dimitri Konidaris, Scott Niekum, Philip S. Thomas:
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning. NIPS 2011: 2402-2410 - 2010
- [c11]George Dimitri Konidaris, Scott Kuindersma, Andrew G. Barto, Roderic A. Grupen:
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories. NIPS 2010: 1162-1170
2000 – 2009
- 2009
- [c10]George Dimitri Konidaris, Andrew G. Barto:
Efficient Skill Learning using Abstraction Selection. IJCAI 2009: 1107-1112 - [c9]George Dimitri Konidaris, Andrew G. Barto:
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining. NIPS 2009: 1015-1023 - 2008
- [c8]George Dimitri Konidaris:
Autonomous Robot Skill Acquisition. AAAI 2008: 1855-1856 - 2007
- [c7]George Dimitri Konidaris, Andrew G. Barto:
Building Portable Options: Skill Transfer in Reinforcement Learning. IJCAI 2007: 895-900 - [c6]Leonidas Georgopoulos, Gillian M. Hayes, George Dimitri Konidaris:
A forward model of optic flow for detecting external forces. IROS 2007: 913-918 - 2006
- [c5]George Dimitri Konidaris, Andrew G. Barto:
Autonomous shaping: knowledge transfer in reinforcement learning. ICML 2006: 489-496 - [c4]George Dimitri Konidaris, Andrew G. Barto:
An Adaptive Robot Motivational System. SAB 2006: 346-356 - [c3]Sarah Rauchas, Benjamin Rosman, George Dimitri Konidaris, Ian D. Sanders:
Language performance at high school and success in first year computer science. SIGCSE 2006: 398-402 - 2005
- [j1]George Dimitri Konidaris, Gillian M. Hayes:
An Architecture for Behavior-Based Reinforcement Learning. Adapt. Behav. 13(1): 5-32 (2005) - [c2]Finlay Stewart, Tim Taylor, George Dimitri Konidaris:
METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. ECAL 2005: 108-117 - 2004
- [c1]George Dimitri Konidaris, Tim Taylor, John Hallam:
HydroGen: Automatically Generating Self-Assembly Code for Hydron Units. DARS 2004: 33-42
Coauthor Index
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