Leslie Pack Kaelbling

371 papers A* 98A 34B 1C 6Misc 16Journal 167Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Pixels to Predicates: Learning Symbolic World Models via Pretrained VLMs. IEEE Robotics Autom. Lett. Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Jiuguang Wang, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2026	J	`jnl`	Open-World Task and Motion Planning via Vision-Language Model Generated Constraints. IEEE Robotics Autom. Lett. Nishanth Kumar, William Shen, Fabio Ramos, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Caelan Reed Garrett
2026	J	`jnl`	SceneComplete: Open-World 3D Scene Completion in Cluttered Real World Environments for Robot Manipulation. IEEE Robotics Autom. Lett. Aditya Agarwal, Gaurav Singh, Bipasha Sen, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2026	J	`jnl`	TiPToP: A Modular Open-Vocabulary Planning System for Robotic Manipulation. CoRR William Shen, Nishanth Kumar, Sahit Chintalapudi, Jie Wang, Christopher Watson, Edward Hu, Jing Cao, Dinesh Jayaraman, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2026	J	`jnl`	Which Reconstruction Model Should a Robot Use? Routing Image-to-3D Models for Cost-Aware Robotic Manipulation. CoRR Akash Anand, Aditya Agarwal, Leslie Pack Kaelbling
2025	J	`jnl`	"Set It Up": Functional Object Arrangement with Compositional Generative Models (Journal Version). CoRR Yiqing Xu, Jiayuan Mao, Linfeng Li, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2025	A*	`conf`	Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. ICML Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole E. Carey
2025	J	`jnl`	Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. CoRR Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole Carey
2025	J	`jnl`	Guided Exploration for Efficient Relational Model Learning. CoRR Annie Feng, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	A*	`conf`	Guiding Long-Horizon Task and Motion Planning with Vision Language Models. ICRA Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	A*	`conf`	KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning. ICRA Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	J	`jnl`	LLM-Guided Probabilistic Program Induction for POMDP Model Estimation. CoRR Aidan Curtis, Hao Tang, Thiago Veloso, Kevin Ellis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	A*	`conf`	One-Shot Manipulation Strategy Learning by Making Contact Analogies. ICRA Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	J	`jnl`	Predicate Invention from Pixels via Pretrained Vision-Language Models. CoRR Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	J	`jnl`	Rational Inverse Reasoning. CoRR Ben Zandonati, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2025	J	`jnl`	Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. CoRR Linfeng Zhao, Willie McClinton, Aidan Curtis, Nishanth Kumar, Tom Silver, Leslie Pack Kaelbling, Lawson L. S. Wong
2025	J	`jnl`	Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories. CoRR Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha
2024	J	`jnl`	"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2024	J	`jnl`	Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty. CoRR Sahit Chintalapudi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2024	J	`jnl`	Combining Planning and Diffusion for Mobility with Unknown Dynamics. CoRR Yajvan Ravan, Zhutian Yang, Tao Chen, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	J	`jnl`	Compositional Generative Modeling: A Single Model is Not All You Need. CoRR Yilun Du, Leslie Pack Kaelbling
2024	A	`conf`	DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. IROS Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2024	A	`conf`	Embodied Uncertainty-Aware Object Segmentation. IROS Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2024	J	`jnl`	Embodied Uncertainty-Aware Object Segmentation. CoRR Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2024	J	`jnl`	Functional Risk Minimization. CoRR Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2024	J	`jnl`	GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets. CoRR Shao Y. C. Chia, Rebecca H. Jiang, Bernhard P. Graesdal, Leslie Pack Kaelbling, Russ Tedrake
2024	A*	`conf`	Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2024	J	`jnl`	Guiding Long-Horizon Task and Motion Planning with Vision Language Models. CoRR Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	J	`jnl`	Keypoint Abstraction using Large Models for Object-Relative Imitation Learning. CoRR Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	A*	`conf`	Learning Interactive Real-World Simulators. ICLR Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
2024	Misc	`conf`	Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. CoRL Bartlomiej Cieslar, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Jorge Mendez-Mendez
2024	J	`jnl`	Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning. CoRR Alicia Li, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	J	`jnl`	One-Shot Manipulation Strategy Learning by Making Contact Analogies. CoRR Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	—	`conf`	Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. Robotics: Science and Systems Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	J	`jnl`	Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	A*	`conf`	Position: Compositional Generative Modeling: A Single Model is Not All You Need. ICML Yilun Du, Leslie Pack Kaelbling
2024	J	`jnl`	Practice Makes Perfect: Planning to Learn Skill Parameter Policies. CoRR Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
2024	—	`conf`	Practice Makes Perfect: Planning to Learning Skill Parameter Policies. Robotics: Science and Systems Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
2024	A*	`conf`	Scaling Exponents Across Parameterizations and Optimizers. ICML Katie E. Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington
2024	J	`jnl`	Scaling Exponents Across Parameterizations and Optimizers. CoRR Katie Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington
2024	J	`jnl`	SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation. CoRR Aditya Agarwal, Gaurav Singh, Bipasha Sen, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	—	`conf`	Set It Up!: Functional Object Arrangement with Compositional Generative Models. Robotics: Science and Systems Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
2024	J	`jnl`	Towards Practical Finite Sample Bounds for Motion Planning in TAMP. CoRR Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2024	Misc	`conf`	Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRL Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	J	`jnl`	Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRR Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2024	A*	`conf`	Video Language Planning. ICLR Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson
2023	Misc	`conf`	Compositional Diffusion-Based Continuous Constraint Solvers. CoRL Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	J	`jnl`	Compositional Diffusion-Based Continuous Constraint Solvers. CoRR Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	A*	`conf`	Compositional Foundation Models for Hierarchical Planning. NeurIPS Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023	J	`jnl`	Compositional Foundation Models for Hierarchical Planning. CoRR Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023	J	`jnl`	DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. CoRR Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2023	Misc	`conf`	Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRL William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
2023	J	`jnl`	Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRR William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
2023	Misc	`conf`	Embodied Lifelong Learning for Task and Motion Planning. CoRL Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2023	J	`jnl`	Embodied Lifelong Learning for Task and Motion Planning. CoRR Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2023	J	`jnl`	Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2023	Misc	`conf`	Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	A*	`conf`	Learning Rational Subgoals from Demonstrations and Instructions. AAAI Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	J	`jnl`	Learning Rational Subgoals from Demonstrations and Instructions. CoRR Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	Misc	`conf`	Learning Reusable Manipulation Strategies. CoRL Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	J	`jnl`	Learning Reusable Manipulation Strategies. CoRR Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	A*	`conf`	Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. ICRA Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	J	`jnl`	Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. CoRR Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	J	`jnl`	Neural Relational Inference with Fast Modular Meta-learning. CoRR Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2023	J	`jnl`	On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	J	`jnl`	PDSketch: Integrated Planning Domain Programming and Learning. CoRR Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	A*	`conf`	Predicate Invention for Bilevel Planning. AAAI Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2023	—	`conf`	Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. Robotics: Science and Systems Zhutian Yang, Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2023	J	`jnl`	Sparse and Local Networks for Hypergraph Reasoning. CoRR Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
2023	A*	`conf`	Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. ICRA Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
2023	J	`jnl`	Video Language Planning. CoRR Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson
2023	A*	`conf`	Visibility-Aware Navigation Among Movable Obstacles. ICRA Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2023	A*	`conf`	What Planning Problems Can A Relational Neural Network Solve? NeurIPS Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	J	`jnl`	What Planning Problems Can A Relational Neural Network Solve? CoRR Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2022	A*	`conf`	Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	A*	`conf`	Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. ICRA Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
2022	J	`jnl`	Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. CoRR Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
2022	J	`jnl`	Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2022	A	`conf`	Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	Misc	`conf`	Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	J	`jnl`	Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	A	`conf`	Learning Object-Based State Estimators for Household Robots. IROS Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	J	`jnl`	Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	A*	`conf`	Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. ICRA Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
2022	A*	`conf`	PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling
2022	A*	`conf`	PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	J	`jnl`	PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	A*	`conf`	Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
2022	J	`jnl`	Representation, learning, and planning algorithms for geometric task and motion planning. CoRR Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2022	J	`jnl`	Representation, learning, and planning algorithms for geometric task and motion planning. Int. J. Robotics Res. Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2022	Misc	`conf`	SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
2022	J	`jnl`	SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
2022	—	`conf`	Sparse and Local Networks for Hypergraph Reasoning. LoG Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
2022	J	`jnl`	Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. CoRR Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
2022	J	`jnl`	Visibility-Aware Navigation Among Movable Obstacles. CoRR Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	A Sufficient Statistic for Influence in Structured Multiagent Environments. J. Artif. Intell. Res. Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
2021	A*	`conf`	A large-scale benchmark for few-shot program induction and synthesis. ICML Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2021	—	`conf`	Active Learning of Abstract Plan Feasibility. Robotics: Science and Systems Michael Noseworthy, Isaiah Brand, Caris Moses, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2021	J	`jnl`	Active Learning of Abstract Plan Feasibility. CoRR Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2021	J	`jnl`	Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2021	A*	`conf`	GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2021	A	`conf`	Learning Symbolic Operators for Task and Motion Planning. IROS Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Learning Symbolic Operators for Task and Motion Planning. CoRR Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	A	`conf`	Learning When to Quit: Meta-Reasoning for Motion Planning. IROS Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Learning When to Quit: Meta-Reasoning for Motion Planning. CoRR Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Learning compositional models of robot skills for task and motion planning. Int. J. Robotics Res. Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. CoRR Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
2021	A*	`conf`	Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2021	J	`jnl`	Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
2021	A*	`conf`	Shape-Based Transfer of Generic Skills. ICRA Skye Thompson, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2021	J	`jnl`	Specifying and achieving goals in open uncertain robot-manipulation domains. CoRR Leslie Pack Kaelbling, Alex LaGrassa, Tomás Lozano-Pérez
2021	A*	`conf`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2021	A*	`conf`	Temporal and Object Quantification Networks. IJCAI Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
2021	J	`jnl`	Temporal and Object Quantification Networks. CoRR Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
2021	A*	`conf`	Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2020	A*	`conf`	Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. NeurIPS Adarsh K. Jeewajee, Leslie Pack Kaelbling
2020	J	`jnl`	Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. CoRR Adarsh K. Jeewajee, Leslie Pack Kaelbling
2020	Misc	`conf`	CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	J	`jnl`	CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	A	`conf`	Elimination of All Bad Local Minima in Deep Learning. AISTATS Kenji Kawaguchi, Leslie Pack Kaelbling
2020	A*	`conf`	Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2020	J	`jnl`	GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	J	`jnl`	Integrated Task and Motion Planning. CoRR Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	J	`jnl`	Learning Online Data Association. CoRR Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Learning compositional models of robot skills for task and motion planning. CoRR Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	A*	`conf`	Meta-learning curiosity algorithms. ICLR Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Meta-learning curiosity algorithms. CoRR Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	A*	`conf`	Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	A*	`conf`	Online Replanning in Belief Space for Partially Observable Task and Motion Problems. ICRA Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2020	A*	`conf`	PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. ICAPS Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	A*	`conf`	Visual Prediction of Priors for Articulated Object Interaction. ICRA Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2020	J	`jnl`	Visual Prediction of Priors for Articulated Object Interaction. CoRR Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2019	Misc	`ed.`	3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings CoRL Leslie Pack Kaelbling, Danica Kragic, Komei Sugiura
2019	J	`jnl`	A Sufficient Statistic for Influence in Structured Multiagent Environments. CoRR Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
2019	A*	`conf`	Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. AAAI Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2019	A*	`conf`	Combining Physical Simulators and Object-Based Networks for Control. ICRA Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling
2019	J	`jnl`	Combining Physical Simulators and Object-Based Networks for Control. CoRR Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling
2019	—	`conf`	Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Differentiable Algorithm Networks for Composable Robot Learning. CoRR Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
2019	J	`jnl`	Effect of Depth and Width on Local Minima in Deep Learning. Neural Comput. Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2019	J	`jnl`	Elimination of All Bad Local Minima in Deep Learning. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling
2019	J	`jnl`	Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. Neural Comput. Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2019	J	`jnl`	Every Local Minimum is a Global Minimum of an Induced Model. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling
2019	J	`jnl`	Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2019	A*	`conf`	Graph Element Networks: adaptive, structured computation and memory. ICML Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	J	`jnl`	Graph Element Networks: adaptive, structured computation and memory. CoRR Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	A*	`conf`	Learning Quickly to Plan Quickly Using Modular Meta-Learning. ICRA Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2019	—	`conf`	Learning sparse relational transition models. ICLR (Poster) Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling
2019	J	`jnl`	Learning to guide task and motion planning using score-space representation. Int. J. Robotics Res. Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2019	J	`jnl`	Look before you sweep: Visibility-aware motion planning. CoRR Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2019	J	`jnl`	Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How
2019	A*	`conf`	Neural Relational Inference with Fast Modular Meta-learning. NeurIPS Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	A	`conf`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2019	J	`jnl`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2019	J	`jnl`	Online Replanning in Belief Space for Partially Observable Task and Motion Problems. CoRR Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
2018	A	`conf`	Active Model Learning and Diverse Action Sampling for Task and Motion Planning. IROS Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Active model learning and diverse action sampling for task and motion planning. CoRR Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	Misc	`conf`	Adaptable replanning with compressed linear action models for learning from demonstrations. CoRL Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A	`conf`	Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. IROS Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez
2018	J	`jnl`	Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. CoRR Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez
2018	J	`jnl`	Effect of Depth and Width on Local Minima in Deep Learning. CoRR Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2018	J	`jnl`	FFRob: Leveraging symbolic planning for efficient task and motion planning. Int. J. Robotics Res. Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	A*	`conf`	Finding Frequent Entities in Continuous Data. IJCAI Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Finding Frequent Entities in Continuous Data. CoRR Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. J. Artif. Intell. Res. George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A*	`conf`	Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. AAAI Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization. CoRR Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A	`conf`	Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. IROS Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Learning Quickly to Plan Quickly Using Modular Meta-Learning. CoRR Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	Misc	`conf`	Learning What Information to Give in Partially Observed Domains. CoRL Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Learning sparse relational transition models. CoRR Victoria Xia, Zi Wang, Leslie Pack Kaelbling
2018	J	`jnl`	Learning to guide task and motion planning using score-space representation. CoRR Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	C	`conf`	Look Before You Sweep: Visibility-Aware Motion Planning. WAFR Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Modular meta-learning in abstract graph networks for combinatorial generalization. CoRR Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	Misc	`conf`	Modular meta-learning. CoRL Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	J	`jnl`	Modular meta-learning. CoRR Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	J	`jnl`	Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. CoRR Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Provably safe robot navigation with obstacle uncertainty. Int. J. Robotics Res. Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A*	`conf`	Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. NeurIPS Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling
2018	J	`jnl`	Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. CoRR Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling
2018	A*	`conf`	Reliably Arranging Objects in Uncertain Domains. ICRA Ariel S. Anders, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Residual Policy Learning. CoRR Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling
2018	J	`jnl`	STRIPStream: Integrating Symbolic Planners and Blackbox Samplers. CoRR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	J	`jnl`	Sampling-Based Methods for Factored Task and Motion Planning. CoRR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	J	`jnl`	Sampling-based methods for factored task and motion planning. Int. J. Robotics Res. Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	A*	`conf`	Selecting Representative Examples for Program Synthesis. ICML Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling
2017	A*	`conf`	Focused model-learning and planning for non-Gaussian continuous state-action systems. ICRA Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	J	`jnl`	Generalization in Deep Learning. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio
2017	J	`jnl`	Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples. CoRR Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	A	`conf`	Intelligent Robots in an Uncertain World. UAI Leslie Pack Kaelbling
2017	A*	`conf`	Learning composable models of parameterized skills. ICRA Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	A	`conf`	Learning to Acquire Information. UAI Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama
2017	J	`jnl`	Learning to Acquire Information. CoRR Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama
2017	A*	`conf`	Learning to guide task and motion planning using score-space representation. ICRA Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	J	`jnl`	Learning to select examples for program synthesis. CoRR Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling
2017	—	`conf`	Provably Safe Robot Navigation with Obstacle Uncertainty. Robotics: Science and Systems Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	J	`jnl`	Provably Safe Robot Navigation with Obstacle Uncertainty. CoRR Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	J	`jnl`	STRIPS Planning in Infinite Domains. CoRR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2017	—	`conf`	Sample-Based Methods for Factored Task and Motion Planning. Robotics: Science and Systems Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2016	J	`jnl`	Backward-Forward Search for Manipulation Planning. CoRR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2016	J	`jnl`	Bayesian Optimization with Exponential Convergence. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	C	`conf`	Decidability of Semi-Holonomic Prehensile Task and Motion Planning. WAFR Ashwin Deshpande, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	J	`jnl`	FFRob: Leveraging Symbolic Planning for Efficient Task and Motion Planning. CoRR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2016	J	`jnl`	Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems. CoRR Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	A*	`conf`	Implicit belief-space pre-images for hierarchical planning and execution. ICRA Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	A*	`conf`	Learning to Rank for Synthesizing Planning Heuristics. IJCAI Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	J	`jnl`	Learning to Rank for Synthesizing Planning Heuristics. CoRR Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	A*	`conf`	Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2016	J	`jnl`	Policy search for multi-robot coordination under uncertainty. Int. J. Robotics Res. Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2016	A*	`conf`	Searching for physical objects in partially known environments. ICRA Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling
2015	A	`conf`	Backward-forward search for manipulation planning. IROS Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2015	—	`conf`	Bayesian Optimization with Exponential Convergence. NIPS Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2015	J	`jnl`	Data association for semantic world modeling from partial views. Int. J. Robotics Res. Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2015	—	`conf`	Generalizing Over Uncertain Dynamics for Online Trajectory Generation. ISRR (2) Beomjoon Kim, Albert Kim, Hongkai Dai, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2015	A	`conf`	Hierarchical planning for multi-contact non-prehensile manipulation. IROS Gilwoo Lee, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2015	J	`jnl`	Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2015	A*	`conf`	Planning for decentralized control of multiple robots under uncertainty. ICRA Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Policy Search for Multi-Robot Coordination under Uncertainty. Robotics: Science and Systems Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling
2015	—	`conf`	Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan P. How, Leslie Pack Kaelbling
2015	A*	`conf`	Symbol Acquisition for Probabilistic High-Level Planning. IJCAI George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	A	`conf`	A constraint-based method for solving sequential manipulation planning problems. IROS Tomás Lozano-Pérez, Leslie Pack Kaelbling
2014	A*	`conf`	Constructing Symbolic Representations for High-Level Planning. AAAI George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	C	`conf`	FFRob: An Efficient Heuristic for Task and Motion Planning. WAFR Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2014	A*	`conf`	Interactive Bayesian identification of kinematic mechanisms. ICRA Patrick R. Barragan, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	J	`jnl`	Learning to Cooperate via Policy Search. CoRR Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
2014	A*	`conf`	Not seeing is also believing: Combining object and metric spatial information. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	A*	`conf`	Optimizing a Start-Stop Controller Using Policy Search. AAAI Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling
2014	J	`jnl`	Planning for Decentralized Control of Multiple Robots Under Uncertainty. CoRR Christopher Amato, George Dimitri Konidaris, Gabriel Cruz, Christopher A. Maynor, Jonathan P. How, Leslie Pack Kaelbling
2014	A	`conf`	Planning with macro-actions in decentralized POMDPs. AAMAS Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling
2014	A*	`conf`	Tracking the spin on a ping pong ball with the quaternion Bingham filter. ICRA Jared Glover, Leslie Pack Kaelbling
2013	A*	`conf`	A hierarchical approach to manipulation with diverse actions. ICRA Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	Accelerating EM: An Empirical Study CoRR Luis E. Ortiz, Leslie Pack Kaelbling
2013	J	`jnl`	Adaptive Importance Sampling for Estimation in Structured Domains CoRR Luis E. Ortiz, Leslie Pack Kaelbling
2013	C	`conf`	Data Association for Semantic World Modeling from Partial Views. ISRR Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	Deliberation Scheduling for Time-Critical Sequential Decision Making CoRR Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
2013	A	`conf`	Foresight and reconsideration in hierarchical planning and execution. IROS Martin Levihn, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Mike Stilman
2013	J	`jnl`	Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
2013	J	`jnl`	Integrated task and motion planning in belief space. Int. J. Robotics Res. Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	Learning Finite-State Controllers for Partially Observable Environments CoRR Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
2013	A*	`conf`	Manipulation-based active search for occluded objects. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	A*	`conf`	Object placement as inverse motion planning. ICRA Anne Holladay, Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	On the Complexity of Solving Markov Decision Problems CoRR Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling
2013	A*	`conf`	Optimization in the now: Dynamic peephole optimization for hierarchical planning. ICRA Dylan Hadfield-Menell, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	Solving POMDPs by Searching the Space of Finite Policies CoRR Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
2013	—	`conf`	Symbol Acquisition for Task-Level Planning. AAAI Workshop: Learning Rich Representations from Low-Level Sensors George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning CoRR Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates
2012	J	`jnl`	CAPIR: Collaborative Action Planning with Intention Recognition CoRR Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2012	A*	`conf`	Collision-free state estimation. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	A	`conf`	Heuristic search of multiagent influence space. AAMAS Stefan J. Witwicki, Frans A. Oliehoek, Leslie Pack Kaelbling
2012	A*	`conf`	Influence-Based Abstraction for Multiagent Systems. AAAI Frans Adriaan Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
2012	A*	`conf`	LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	J	`jnl`	Learning Probabilistic Relational Dynamics for Multiple Tasks CoRR Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2012	—	`conf`	Manipulation with Multiple Action Types. ISER Jennifer L. Barry, Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	A*	`conf`	Non-Gaussian belief space planning: Correctness and complexity. ICRA Robert Platt Jr., Leslie Pack Kaelbling, Tomás Lozano-Pérez, Russ Tedrake
2012	—	`conf`	POMCoP: Belief Space Planning for Sidekicks in Cooperative Games. AIIDE Owen Macindoe, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	A*	`conf`	Unifying perception, estimation and action for mobile manipulation via belief space planning. ICRA Leslie Pack Kaelbling, Tomás Lozano-Pérez
2011	A*	`conf`	Bayesian Policy Search with Policy Priors. IJCAI David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2011	—	`conf`	CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant
2011	A*	`conf`	DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. IJCAI Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2011	C	`conf`	Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping. ISRR Robert Platt Jr., Leslie Pack Kaelbling, Tomás Lozano-Pérez, Russ Tedrake
2011	A*	`conf`	Hierarchical task and motion planning in the now. ICRA Leslie Pack Kaelbling, Tomás Lozano-Pérez
2011	J	`jnl`	Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap CoRR Leslie Pack Kaelbling, Hagit Shatkay
2011	J	`jnl`	Learning Symbolic Models of Stochastic Domains CoRR Leslie Pack Kaelbling, Hanna M. Pasula, Luke S. Zettlemoyer
2011	C	`conf`	Pre-image Backchaining in Belief Space for Mobile Manipulation. ISRR Leslie Pack Kaelbling, Tomás Lozano-Pérez
2011	J	`jnl`	Robust grasping under object pose uncertainty. Auton. Robots Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2010	—	`conf`	Belief space planning assuming maximum likelihood observations. Robotics: Science and Systems Robert Platt Jr., Russ Tedrake, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2010	A	`conf`	Class-specific grasping of 3D objects from a single 2D image. IROS Han-Pang Chiu, Huan Liu, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2010	—	`conf`	Hierarchical Planning in the Now. Bridging the Gap Between Task and Motion Planning Leslie Pack Kaelbling, Tomás Lozano-Pérez
2010	—	`conf`	Intelligent Interaction with the Real World. ECML/PKDD (1) Leslie Pack Kaelbling
2010	J	`jnl`	Planning in partially-observable switching-mode continuous domains. Ann. Math. Artif. Intell. Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2010	—	`conf`	Task-Driven Tactile Exploration. Robotics: Science and Systems Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2010	J	`jnl`	Technical perspective - New bar set for intelligent vehicles. Commun. ACM Leslie Pack Kaelbling
2009	J	`jnl`	Learning to generate novel views of objects for class recognition. Comput. Vis. Image Underst. Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2009	J	`jnl`	Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Michael G. Ross, Leslie Pack Kaelbling
2008	J	`jnl`	Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning. Int. J. Robotics Res. Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus
2008	Misc	`conf`	Continuous-State POMDPs with Hybrid Dynamics. ISAIM Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
2008	—	`conf`	Efficient Distributed Reinforcement Learning through Agreement. DARS Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus
2008	—	`conf`	Learning Grammatical Models for Object Recognition. Logic and Probability for Scene Interpretation Meg Aycinena Lippow, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2008	A*	`conf`	Lifted Probabilistic Inference with Counting Formulas. AAAI Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling
2008	—	`conf`	Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling
2007	A*	`conf`	Action-Space Partitioning for Planning. AAAI Natalia Hernandez-Gardiol, Leslie Pack Kaelbling
2007	A*	`conf`	Efficient Bayesian Task-Level Transfer Learning. IJCAI Daniel M. Roy, Leslie Pack Kaelbling
2007	A*	`conf`	Grasping POMDPs. ICRA Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2007	—	`conf`	Learning Probabilistic Relational Dynamics for Multiple Tasks. Probabilistic, Logical and Relational Learning - A Further Synthesis Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2007	A	`conf`	Learning Probabilistic Relational Dynamics for Multiple Tasks. UAI Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2007	J	`jnl`	Learning Symbolic Models of Stochastic Domains. J. Artif. Intell. Res. Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2007	—	`conf`	Logical Particle Filtering. Probabilistic, Logical and Relational Learning - A Further Synthesis Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling
2007	—	`conf`	Predicting Partial Paths from Planning Problem Parameters. Robotics: Science and Systems Sarah Finney, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2007	A*	`conf`	Virtual Training for Multi-View Object Class Recognition. CVPR Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2005	A*	`conf`	Hedged learning: regret-minimization with learning experts. ICML Yu-Han Chang, Leslie Pack Kaelbling
2005	A*	`ed.`	IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30 - August 5, 2005 IJCAI Leslie Pack Kaelbling, Alessandro Saffiotti
2005	A*	`conf`	Learning Planning Rules in Noisy Stochastic Worlds. AAAI Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling
2005	A*	`conf`	Learning Static Object Segmentation from Motion Segmentation. AAAI Michael G. Ross, Leslie Pack Kaelbling
2004	A*	`conf`	Learning Probabilistic Relational Planning Rules. ICAPS Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2004	A*	`conf`	Learning Probabilistic Relational Planning Rules. KR Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling
2004	A	`conf`	Learning distributed control for modular robots. IROS Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus
2004	—	`conf`	Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. ICAC Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
2004	—	`conf`	Multi-Agent Learning in Mobilized Ad-Hoc Networks. AAAI Technical Report (2) Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
2004	A*	`conf`	Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling
2003	J	`jnl`	A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection. Int. J. Comput. Vis. Brett R. Fajen, William H. Warren, Selim Temizer, Leslie Pack Kaelbling
2003	—	`conf`	All learning is Local: Multi-agent Learning in Global Reward Games. NIPS Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
2003	—	`conf`	Approximate Planning in POMDPs with Macro-Actions. NIPS Georgios Theocharous, Leslie Pack Kaelbling
2003	—	`conf`	Envelope-based Planning in Relational MDPs. NIPS Natalia Hernandez-Gardiol, Leslie Pack Kaelbling
2002	A*	`conf`	Effective Reinforcement Learning for Mobile Robots. ICRA William D. Smart, Leslie Pack Kaelbling
2002	J	`jnl`	Experience with web-based computer science education. J. Comput. Sci. Coll. Leslie Pack Kaelbling
2002	J	`jnl`	Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. J. Artif. Intell. Res. Hagit Shatkay, Leslie Pack Kaelbling
2002	—	`conf`	Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI Terran Lane, Leslie Pack Kaelbling
2002	A	`conf`	The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. UAI Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates
2001	—	`conf`	Approaches to macro decompositions of large Markov decision process planning problems. Mobile Robots Terran Lane, Leslie Pack Kaelbling
2001	—	`conf`	Holonomic planar motion from non-holonomic driving mechanisms: the front-point method. Mobile Robots Selim Temizer, Leslie Pack Kaelbling
2001	J	`jnl`	Learning Policies with External Memory CoRR Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
2001	J	`jnl`	Learning to Cooperate via Policy Search CoRR Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
2001	—	`conf`	Playing is believing: The role of beliefs in multi-agent learning. NIPS Yu-Han Chang, Leslie Pack Kaelbling
2001	—	`conf`	Reinforcement learning for robot control. Mobile Robots William D. Smart, Leslie Pack Kaelbling
2000	A	`conf`	Adaptive Importance Sampling for Estimation in Structured Domains. UAI Luis E. Ortiz, Leslie Pack Kaelbling
2000	A	`conf`	Learning to Cooperate via Policy Search. UAI Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
2000	A*	`conf`	Practical Reinforcement Learning in Continuous Spaces. ICML William D. Smart, Leslie Pack Kaelbling
2000	—	`conf`	Sampling Methods for Action Selection in Influence Diagrams. AAAI/IAAI Luis E. Ortiz, Leslie Pack Kaelbling
2000	A*	`conf`	State-based Classification of Finger Gestures from Electromyographic Signals. ICML Peter Ju, Leslie Pack Kaelbling, Yoram Singer
1999	A	`conf`	Accelerating EM: An Empirical Study. UAI Luis E. Ortiz, Leslie Pack Kaelbling
1999	A	`conf`	Learning Finite-State Controllers for Partially Observable Environments. UAI Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
1999	A*	`conf`	Learning Policies with External Memory. ICML Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
1999	A*	`conf`	Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling
1999	A	`conf`	Solving POMDPs by Searching the Space of Finite Policies. UAI Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
1998	—	`conf`	A Framework for Reinforcement Learning on Real Robots. AAAI/IAAI William D. Smart, Leslie Pack Kaelbling
1998	J	`jnl`	Ecological Robotics. Adapt. Behav. Andrew P. Duchon, Leslie Pack Kaelbling, William H. Warren
1998	A*	`conf`	Heading in the Right Direction. ICML Hagit Shatkay, Leslie Pack Kaelbling
1998	A	`conf`	Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1998	J	`jnl`	Planning and Acting in Partially Observable Stochastic Domains. Artif. Intell. Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra
1998	—	`conf`	Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1997	—	`conf`	Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) Hagit Shatkay, Leslie Pack Kaelbling
1996	A	`conf`	Acting under uncertainty: discrete Bayesian models for mobile-robot navigation. IROS Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien
1996	J	`jnl`	Introduction. Mach. Learn. Leslie Pack Kaelbling
1996	A	`conf`	On reinforcement learning for robots. IROS Leslie Pack Kaelbling
1996	J	`jnl`	Reinforcement Learning: A Survey CoRR Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore
1996	J	`jnl`	Reinforcement Learning: A Survey. J. Artif. Intell. Res. Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore
1996	J	`jnl`	The National Science Foundation Workshop on Reinforcement Learning. AI Mag. Sridhar Mahadevan, Leslie Pack Kaelbling
1995	J	`jnl`	A Situated View of Representation and Control. Artif. Intell. Stanley J. Rosenschein, Leslie Pack Kaelbling
1995	J	`jnl`	Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. Mach. Learn. Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron
1995	J	`jnl`	Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling
1995	A*	`conf`	Learning Policies for Partially Observable Environments: Scaling Up. ICML Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling
1995	A	`conf`	On the Complexity of Solving Markov Decision Problems. UAI Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling
1995	Misc	`conf`	Partially Observable Markov Decision Processes for Artificial Intelligence. KI Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra
1995	—	`conf`	Partially Observable Markov Decision Processes for Artificial Intelligence. Reasoning with Uncertainty in Robotics Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra
1995	J	`jnl`	Planning under Time Constraints in Stochastic Domains. Artif. Intell. Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1994	A*	`conf`	Acting Optimally in Partially Observable Stochastic Domains. AAAI Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman
1994	J	`jnl`	Associative Reinforcement Learning: A Generate and Test Algorithm. Mach. Learn. Leslie Pack Kaelbling
1994	J	`jnl`	Associative Reinforcement Learning: Functions in k-DNF. Mach. Learn. Leslie Pack Kaelbling
1994	A	`conf`	Learning and intelligent Agents. ECAI Leslie Pack Kaelbling
1993	A	`conf`	Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1993	A*	`conf`	Hierarchical Learning in Stochastic Domains: Preliminary Results. ICML Leslie Pack Kaelbling
1993	—	`book`	Learning in embedded systems. Leslie Pack Kaelbling
1993	A*	`conf`	Learning to Achieve Goals. IJCAI Leslie Pack Kaelbling
1993	A*	`conf`	Planning With Deadlines in Stochastic Domains. AAAI Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1992	A*	`conf`	Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. AAAI Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron
1991	J	`jnl`	A Situated-Automata Approach to the Design of Embedded Agents. SIGART Bull. Leslie Pack Kaelbling
1991	J	`jnl`	Foundations of learning in autonomous agents. Robotics Auton. Syst. Leslie Pack Kaelbling
1991	A*	`conf`	Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. IJCAI David Chapman, Leslie Pack Kaelbling
1990	J	`jnl`	Action and planning in embedded agents. Robotics Auton. Syst. Leslie Pack Kaelbling, Stanley J. Rosenschein
1990	—	`conf`	Learning Functions in k-DNF from Reinforcement. ML Leslie Pack Kaelbling
1990	—	`—`	Learning in embedded systems. Leslie Pack Kaelbling
1989	—	`conf`	A Formal Framework for Learning in Embedded Systems. ML Leslie Pack Kaelbling
1989	—	`conf`	Intelligent Robots in the Real World. IFIP Congress Leslie Pack Kaelbling
1988	—	`conf`	Artificial Intelligence and Robotics. COMPCON Leslie Pack Kaelbling
1988	A*	`conf`	Goals as Parallel Program Specifications. AAAI Leslie Pack Kaelbling
1986	B	`conf`	The Synthesis of Digital Machines With Provable Epistemic Properties. TARK Stanley J. Rosenschein, Leslie Pack Kaelbling