George Konidaris

99 papers A* 34A 8B 1C 1Misc 2Journal 52Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Residual Reinforcement Learning With Uncertainty Estimation. IEEE Robotics Autom. Lett. Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2026	J	`jnl`	Effective Task Planning with Missing Objects using Learning-Informed Object Search. CoRR Raihan Islam Arnob, Max Merlin, Abhishek Paudel, Benned Hedegaard, George Konidaris, Gregory J. Stein
2026	J	`jnl`	Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion. CoRR Dan Haramati, Carl Qi, Tal Daniel, Amy Zhang, Aviv Tamar, George Konidaris
2025	J	`jnl`	Accelerating Residual Reinforcement Learning with Uncertainty Estimation. CoRR Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025	J	`jnl`	Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network. CoRR Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Konidaris, Dana S. Nau
2025	J	`jnl`	Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Policies. CoRR Benned Hedegaard, Ziyi Yang, Yichen Wei, Ahmed Jaafar, Stefanie Tellex, George Konidaris, Naman Shah
2025	A*	`conf`	Bootstrapping Object-Level Planning with Large Language Models. ICRA David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris
2025	A*	`conf`	Discovering Options That Minimize Average Planning Time. AAAI Alexander Ivanov, Akhil Bagaria, George Konidaris
2025	A*	`conf`	Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces. ICLR Saket Tiwari, Omer Gottesman, George Konidaris
2025	J	`jnl`	Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces. CoRR Saket Tiwari, Omer Gottesman, George Konidaris
2025	A*	`conf`	Knowledge Retention in Continual Model-Based Reinforcement Learning. ICML Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris
2025	J	`jnl`	Learning Parameterized Skills from Demonstrations. CoRR Vedant Gupta, Haotian Fu, Calvin Luo, Yiding Jiang, George Konidaris
2025	A	`conf`	Least Commitment Planning for the Object Scouting Problem. IROS Max Merlin, Ziyi Yang, George Konidaris, David Paulius
2025	J	`jnl`	NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos. CoRR Hongyu Li, Lingfeng Sun, Yafei Hu, Duy Ta, Jennifer Barry, George Konidaris, Jiahui Fu
2025	J	`jnl`	Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning. CoRR Naicheng He, Kaicheng Guo, Arjun Prakash, Saket Tiwari, Ruo Yu Tao, Tyrone Serapio, Amy Greenwald, George Konidaris
2025	J	`jnl`	V-HOP: Visuo-Haptic 6D Object Pose Tracking. CoRR Hongyu Li, Mingxi Jia, Tuluhan Akbulut, Yu Xiang, George Konidaris, Srinath Sridhar
2025	A*	`conf`	Verifiably Following Complex Robot Instructions with Foundation Models. ICRA Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris
2025	B	`conf`	Visual Theory of Mind Enables the Invention of Proto-Writing. CogSci Benjamin A. Spiegel, Lucas Gelfond, George Konidaris
2025	J	`jnl`	Visual Theory of Mind Enables the Invention of Writing Systems. CoRR Benjamin A. Spiegel, Lucas Gelfond, George Konidaris
2024	J	`jnl`	Bootstrapping Object-level Planning with Large Language Models. CoRR David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris
2024	A*	`conf`	EPO: Hierarchical LLM Agents with Environment Preference Optimization. EMNLP Qi Zhao, Haotian Fu, Chen Sun, George Konidaris
2024	J	`jnl`	EPO: Hierarchical LLM Agents with Environment Preference Optimization. CoRR Qi Zhao, Haotian Fu, Chen Sun, George Konidaris
2024	A	`conf`	Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models. IROS Jason Xinyu Liu, Ankit Shah, George Konidaris, Stefanie Tellex, David Paulius
2024	A*	`conf`	Language-guided Skill Learning with Temporal Variational Inference. ICML Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024	J	`jnl`	Language-guided Skill Learning with Temporal Variational Inference. CoRR Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024	J	`jnl`	Latent-Predictive Empowerment: Measuring Empowerment without a Simulator. CoRR Andrew Levy, Alessandro Allievi, George Konidaris
2024	J	`jnl`	Learning Abstract World Model for Value-preserving Planning with Options. CoRR Rafael Rodríguez-Sánchez, George Konidaris
2024	J	`jnl`	Learning Abstract World Models for Value-preserving Planning with Options. RLJ Rafael Rodríguez-Sánchez, George Konidaris
2024	A*	`conf`	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. NeurIPS Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2024	J	`jnl`	Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2024	A*	`conf`	Model-based Reinforcement Learning for Parameterized Action Spaces. ICML Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris
2024	J	`jnl`	Model-based Reinforcement Learning for Parameterized Action Spaces. CoRR Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris
2024	A*	`conf`	Robot Task Planning Under Local Observability. ICRA Max Merlin, Shane Parr, Neev Parikh, Sergio Orozco, Vedant Gupta, Eric Rosen, George Konidaris
2024	J	`jnl`	Skill Generalization with Verbs. CoRR Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris
2024	A*	`conf`	Skill Transfer for Temporal Task Specification. ICRA Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex
2024	J	`jnl`	Verifiably Following Complex Robot Instructions with Foundation Models. CoRR Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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
2023	A	`conf`	Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman
2023	A	`conf`	Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2023	J	`jnl`	Effects of Data Geometry in Early Deep Learning. CoRR Saket Tiwari, George Konidaris
2023	J	`jnl`	Exploiting Contextual Structure to Generate Useful Auxiliary Tasks. CoRR Benedict Quartey, Ankit Shah, George Konidaris
2023	A*	`conf`	Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. ICML Sam Lobel, Akhil Bagaria, George Konidaris
2023	J	`jnl`	Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. CoRR Sam Lobel, Akhil Bagaria, George Konidaris
2023	J	`jnl`	Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. CoRR Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris
2023	A	`conf`	Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. IROS Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex
2023	J	`jnl`	Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. CoRR Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex
2023	A*	`conf`	Meta-learning Parameterized Skills. ICML Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris
2023	J	`jnl`	MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James
2023	A*	`conf`	Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris
2023	A*	`conf`	Q-functionals for Value-Based Continuous Control. AAAI Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris
2023	A*	`conf`	RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents. ICML Rafael Rodríguez-Sánchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris
2023	A	`conf`	Skill Generalization with Verbs. IROS Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris
2023	Misc	`conf`	Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris
2022	J	`jnl`	Adaptive Online Value Function Approximation with Wavelets. CoRR Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris
2022	J	`jnl`	Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit
2022	A*	`conf`	Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR Steven James, Benjamin Rosman, George Konidaris
2022	J	`jnl`	Characterizing the Action-Generalization Gap in Deep Q-Learning. CoRR Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris
2022	J	`jnl`	Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2022	A*	`conf`	Effects of Data Geometry in Early Deep Learning. NeurIPS Saket Tiwari, George Konidaris
2022	J	`jnl`	Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman
2022	A*	`conf`	Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman
2022	A*	`conf`	Generalizing to New Domains by Mapping Natural Language to Lifted LTL. ICRA Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris
2022	A*	`conf`	Learning to Infer Kinematic Hierarchies for Novel Object Instances. ICRA Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
2022	A*	`conf`	Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris
2022	A*	`conf`	Optimistic Initialization for Exploration in Continuous Control. AAAI Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris
2022	J	`jnl`	RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning. CoRR Rafael Rodríguez-Sánchez, Benjamin A. Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris
2022	A*	`conf`	RMPs for Safe Impedance Control in Contact-Rich Manipulation. ICRA Seiji Shaw, Ben Abbatematteo, George Konidaris
2022	J	`jnl`	Skill Transfer for Temporally-Extended Task Specifications. CoRR Jason Xinyu Liu, Ankit Shah, Eric Rosen, George Konidaris, Stefanie Tellex
2022	A*	`conf`	Towards Optimal Correlational Object Search. ICRA Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex
2022	A*	`conf`	Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments. ICRA Matthew Berg, George Konidaris, Stefanie Tellex
2021	J	`jnl`	A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. J. Mach. Learn. Res. Oliver Kroemer, Scott Niekum, George Konidaris
2021	J	`jnl`	Coarse-Grained Smoothness for RL in Metric Spaces. CoRR Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman
2021	A*	`conf`	Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2021	J	`jnl`	Generalizing to New Domains by Mapping Natural Language to Lifted LTL. CoRR Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris
2021	J	`jnl`	Guided Policy Search for Parameterized Skills using Adverbs. CoRR Benjamin A. Spiegel, George Konidaris
2021	J	`jnl`	HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. CoRR Willie McClinton, Andrew Levy, George Konidaris
2021	J	`jnl`	IKFlow: Generating Diverse Inverse Kinematics Solutions. CoRR Barrett Ames, Jeremy Morgan, George Konidaris
2021	A*	`conf`	Learning Collaborative Pushing and Grasping Policies in Dense Clutter. ICRA Bingjie Tang, Matthew Corsaro, George Konidaris, Stefanos Nikolaidis, Stefanie Tellex
2021	A*	`conf`	Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
2021	J	`jnl`	Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
2021	J	`jnl`	Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. CoRR Matt Corsaro, Stefanie Tellex, George Konidaris
2021	A	`conf`	Multi-Resolution POMDP Planning for Multi-Object Search in 3D. IROS Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex
2021	J	`jnl`	RMPs for Safe Impedance Control in Contact-Rich Manipulation. CoRR Seiji Shaw, Ben Abbatematteo, George Konidaris
2021	A*	`conf`	Robustly Learning Composable Options in Deep Reinforcement Learning. IJCAI Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris
2021	A*	`conf`	Skill Discovery for Exploration and Planning using Deep Skill Graphs. ICML Akhil Bagaria, Jason K. Senthil, George Konidaris
2021	J	`jnl`	Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. CoRR Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris
2020	A	`conf`	Building Plannable Representations with Mixed Reality. IROS Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
2020	J	`jnl`	Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2020	A*	`conf`	Learning Portable Representations for High-Level Planning. ICML Steven James, Benjamin Rosman, George Konidaris
2020	J	`jnl`	Multi-Resolution POMDP Planning for Multi-Object Search in 3D. CoRR Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex
2020	J	`jnl`	Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration. IEEE Trans. Robotics Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt
2020	A*	`conf`	Option Discovery using Deep Skill Chaining. ICLR Akhil Bagaria, George Konidaris
2020	—	`conf`	Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. Robotics: Science and Systems Nakul Gopalan, Eric Rosen, George Konidaris, Stefanie Tellex
2020	J	`jnl`	Steps Towards Best Practices For Robot Videos. CoRR Eric Rosen, Stefanie Tellex, George Konidaris
2020	A*	`conf`	Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris
2020	J	`jnl`	Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris
2020	J	`jnl`	Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion. CoRR Josh Roy, George Konidaris
2019	C	`conf`	Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. ISRR Adam Pacheck, George Konidaris, Hadas Kress-Gazit
2019	Misc	`conf`	Learning to Generalize Kinematic Models to Novel Objects. CoRL Ben Abbatematteo, Stefanie Tellex, George Konidaris