Leslie Pack Kaelbling

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 178

Top Venues

Publications

Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR (2024)
Nishanth Kumar, Tom Silver, Willie McClinton, Linfeng Zhao, Stephen Proulx, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Jennifer L. Barry
Practice Makes Perfect: Planning to Learn Skill Parameter Policies. CoRR (2024)
Yilun Du, Leslie Pack Kaelbling
Compositional Generative Modeling: A Single Model is Not All You Need. CoRR (2024)
Aidan Curtis, Nishanth Kumar, Jing Cao, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. CoRR (2024)
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. ICLR (2024)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI (2024)
Seiji Shaw, Aidan Curtis, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Towards Practical Finite Sample Bounds for Motion Planning in TAMP. CoRR (2024)
Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR (2024)
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
Video Language Planning. ICLR (2024)
Shao Y. C. Chia, Rebecca H. Jiang, Bernhard P. Graesdal, Leslie Pack Kaelbling, Russ Tedrake
GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets. CoRR (2024)
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
Scaling Exponents Across Parameterizations and Optimizers. CoRR (2024)
Zhutian Yang, Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. Robotics: Science and Systems (2023)
Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Neural Relational Inference with Fast Modular Meta-learning. CoRR (2023)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL (2023)
Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Embodied Lifelong Learning for Task and Motion Planning. CoRL (2023)
Jorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Embodied Lifelong Learning for Task and Motion Planning. CoRR (2023)
Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR (2023)
Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR (2023)
William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRL (2023)
Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL (2023)
William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRR (2023)
Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. CoRR (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
What Planning Problems Can A Relational Neural Network Solve? CoRR (2023)
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
Video Language Planning. CoRR (2023)
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
Compositional Foundation Models for Hierarchical Planning. CoRR (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
What Planning Problems Can A Relational Neural Network Solve? NeurIPS (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
PDSketch: Integrated Planning Domain Programming and Learning. CoRR (2023)
Ethan Chun, Yilun Du, Anthony Simeonov, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. ICRA (2023)
Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Reusable Manipulation Strategies. CoRR (2023)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR (2023)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Predicate Invention for Bilevel Planning. AAAI (2023)
Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. ICRA (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Reusable Manipulation Strategies. CoRL (2023)
Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Rational Subgoals from Demonstrations and Instructions. CoRR (2023)
Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Visibility-Aware Navigation Among Movable Obstacles. ICRA (2023)
Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. CoRR (2023)
Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Rational Subgoals from Demonstrations and Instructions. AAAI (2023)
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
Compositional Foundation Models for Hierarchical Planning. NeurIPS (2023)
Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
Sparse and Local Networks for Hypergraph Reasoning. CoRR (2023)
Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
Sparse and Local Networks for Hypergraph Reasoning. LoG (2022)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL (2022)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS (2022)
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI (2022)
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. ICRA (2022)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR (2022)
Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL (2022)
Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. CoRR (2022)
Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Object-Based State Estimators for Household Robots. IROS (2022)
Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Visibility-Aware Navigation Among Movable Obstacles. CoRR (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR (2022)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR (2022)
Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Representation, learning, and planning algorithms for geometric task and motion planning. CoRR (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR (2022)
Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR (2022)
Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Representation, learning, and planning algorithms for geometric task and motion planning. Int. J. Robotics Res. 41 (2) (2022)
Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. ICRA (2022)
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS (2022)
Sathwik Karnik, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin
Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. CoRR (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI (2022)
Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning When to Quit: Meta-Reasoning for Motion Planning. IROS (2021)
Skye Thompson, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Shape-Based Transfer of Generic Skills. ICRA (2021)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. CoRR (2021)
Michael Noseworthy, Isaiah Brand, Caris Moses, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Active Learning of Abstract Plan Feasibility. Robotics: Science and Systems (2021)
Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Active Learning of Abstract Plan Feasibility. CoRR (2021)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR (2021)
Yoonchang Sung, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning When to Quit: Meta-Reasoning for Motion Planning. CoRR (2021)
Leslie Pack Kaelbling, Alex LaGrassa, Tomás Lozano-Pérez
Specifying and achieving goals in open uncertain robot-manipulation domains. CoRR (2021)
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
Temporal and Object Quantification Networks. IJCAI (2021)
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning compositional models of robot skills for task and motion planning. Int. J. Robotics Res. 40 (6-7) (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR (2021)
Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
A Sufficient Statistic for Influence in Structured Multiagent Environments. J. Artif. Intell. Res. 70 (2021)
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR (2021)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. IROS (2021)
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. CoRR (2021)
Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS (2021)
Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
A large-scale benchmark for few-shot program induction and synthesis. ICML (2021)
Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS (2021)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI (2021)
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
Temporal and Object Quantification Networks. CoRR (2021)
Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI (2020)
Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Meta-learning curiosity algorithms. ICLR (2020)
Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. ICAPS (2020)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR (2020)
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning compositional models of robot skills for task and motion planning. CoRR (2020)
Kenji Kawaguchi, Leslie Pack Kaelbling
Elimination of All Bad Local Minima in Deep Learning. AISTATS (2020)
Adarsh K. Jeewajee, Leslie Pack Kaelbling
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. CoRR (2020)
Adarsh K. Jeewajee, Leslie Pack Kaelbling
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. NeurIPS (2020)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR (2020)
Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Meta-learning curiosity algorithms. CoRR (2020)
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Online Replanning in Belief Space for Partially Observable Task and Motion Problems. ICRA (2020)
Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Online Data Association. CoRR (2020)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI (2020)
Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Visual Prediction of Priors for Articulated Object Interaction. ICRA (2020)
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. CoRR (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR (2020)
Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy
Visual Prediction of Priors for Articulated Object Interaction. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Leslie Pack Kaelbling