The Synthesis of Digital Machines With Provable Epistemic Properties. - Stanley J. Rosenschein; Leslie Pack Kaelbling (TARK, 1986)

Goals as Parallel Program Specifications. - Leslie Pack Kaelbling (AAAI, 1988)

Artificial Intelligence and Robotics. - Leslie Pack Kaelbling (COMPCON, 1988)

A Formal Framework for Learning in Embedded Systems. - Leslie Pack Kaelbling (ML, 1989)

Intelligent Robots in the Real World. - Leslie Pack Kaelbling (IFIP Congress, 1989)

Learning Functions in k-DNF from Reinforcement. - Leslie Pack Kaelbling (ML, 1990)

Action and planning in embedded agents. - Leslie Pack Kaelbling; Stanley J. Rosenschein (Robotics Auton. Syst., 1990)

Learning in embedded systems. - Leslie Pack Kaelbling (1990)

Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. - David Chapman; Leslie Pack Kaelbling (IJCAI, 1991)

Foundations of learning in autonomous agents. - Leslie Pack Kaelbling (Robotics Auton. Syst., 1991)

A Situated-Automata Approach to the Design of Embedded Agents. - Leslie Pack Kaelbling (SIGART Bull., 1991)

Learning in embedded systems. - Leslie Pack Kaelbling (MIT Press, 1993)

Planning With Deadlines in Stochastic Domains. - Thomas L. Dean; Leslie Pack Kaelbling; Jak Kirman; Ann E. Nicholson (AAAI, 1993)

Hierarchical Learning in Stochastic Domains: Preliminary Results. - Leslie Pack Kaelbling (ICML, 1993)

Learning to Achieve Goals. - Leslie Pack Kaelbling (IJCAI, 1993)

Deliberation Scheduling for Time-Critical Sequential Decision Making. - Thomas L. Dean; Leslie Pack Kaelbling; Jak Kirman; Ann E. Nicholson (UAI, 1993)

Acting Optimally in Partially Observable Stochastic Domains. - Anthony R. Cassandra; Leslie Pack Kaelbling; Michael L. Littman (AAAI, 1994)

Learning and intelligent Agents. - Leslie Pack Kaelbling (ECAI, 1994)

Associative Reinforcement Learning: Functions in k-DNF. - Leslie Pack Kaelbling (Mach. Learn., 1994)

Associative Reinforcement Learning: A Generate and Test Algorithm. - Leslie Pack Kaelbling (Mach. Learn., 1994)

Learning Policies for Partially Observable Environments: Scaling Up. - Michael L. Littman; Anthony R. Cassandra; Leslie Pack Kaelbling (ICML, 1995)

Partially Observable Markov Decision Processes for Artificial Intelligence. - Leslie Pack Kaelbling; Michael L. Littman; Anthony R. Cassandra (KI, 1995)

On the Complexity of Solving Markov Decision Problems. - Michael L. Littman; Thomas L. Dean; Leslie Pack Kaelbling (UAI, 1995)

Learning Dynamics: System Identification for Perceptually Challenged Agents. - Kenneth Basye; Thomas L. Dean; Leslie Pack Kaelbling (Artif. Intell., 1995)

Planning under Time Constraints in Stochastic Domains. - Thomas L. Dean; Leslie Pack Kaelbling; Jak Kirman; Ann E. Nicholson (Artif. Intell., 1995)

A Situated View of Representation and Control. - Stanley J. Rosenschein; Leslie Pack Kaelbling (Artif. Intell., 1995)

Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. - Thomas L. Dean; Dana Angluin; Kenneth Basye; Sean P. Engelson; Leslie Pack Kaelbling; Evangelos Kokkevis; Oded Maron (Mach. Learn., 1995)

Acting under uncertainty: discrete Bayesian models for mobile-robot navigation. - Anthony R. Cassandra; Leslie Pack Kaelbling; James Kurien (IROS, 1996)

On reinforcement learning for robots. - Leslie Pack Kaelbling (IROS, 1996)

The National Science Foundation Workshop on Reinforcement Learning. - Sridhar Mahadevan; Leslie Pack Kaelbling (AI Mag., 1996)

Reinforcement Learning: A Survey. - Leslie Pack Kaelbling; Michael L. Littman; Andrew W. Moore 001 (J. Artif. Intell. Res., 1996)

Introduction. - Leslie Pack Kaelbling (Mach. Learn., 1996)

Learning Topological Maps with Weak Local Odometric Information. - Hagit Shatkay; Leslie Pack Kaelbling (IJCAI (2), 1997)

Solving Very Large Weakly Coupled Markov Decision Processes. - Nicolas Meuleau; Milos Hauskrecht; Kee-Eung Kim; Leonid Peshkin; Leslie Pack Kaelbling; Thomas L. Dean; Craig Boutilier (AAAI/IAAI, 1998)

A Framework for Reinforcement Learning on Real Robots. - William D. Smart; Leslie Pack Kaelbling (AAAI/IAAI, 1998)

Heading in the Right Direction. - Hagit Shatkay; Leslie Pack Kaelbling (ICML, 1998)

Hierarchical Solution of Markov Decision Processes using Macro-actions. - Milos Hauskrecht; Nicolas Meuleau; Leslie Pack Kaelbling; Thomas L. Dean; Craig Boutilier (UAI, 1998)

Ecological Robotics. - Andrew P. Duchon; Leslie Pack Kaelbling; William H. Warren (Adapt. Behav., 1998)

Planning and Acting in Partially Observable Stochastic Domains. - Leslie Pack Kaelbling; Michael L. Littman; Anthony R. Cassandra (Artif. Intell., 1998)

Learning Policies with External Memory. - Leonid Peshkin; Nicolas Meuleau; Leslie Pack Kaelbling (ICML, 1999)

Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. - Andrew W. Moore 001; Leemon C. Baird III; Leslie Pack Kaelbling (IJCAI, 1999)

Solving POMDPs by Searching the Space of Finite Policies. - Nicolas Meuleau; Kee-Eung Kim; Leslie Pack Kaelbling; Anthony R. Cassandra (UAI, 1999)

Learning Finite-State Controllers for Partially Observable Environments. - Nicolas Meuleau; Leonid Peshkin; Kee-Eung Kim; Leslie Pack Kaelbling (UAI, 1999)

Accelerating EM: An Empirical Study. - Luis E. Ortiz; Leslie Pack Kaelbling (UAI, 1999)

Sampling Methods for Action Selection in Influence Diagrams. - Luis E. Ortiz; Leslie Pack Kaelbling (AAAI/IAAI, 2000)

State-based Classification of Finger Gestures from Electromyographic Signals. - Peter Ju; Leslie Pack Kaelbling; Yoram Singer (ICML, 2000)

Practical Reinforcement Learning in Continuous Spaces. - William D. Smart; Leslie Pack Kaelbling (ICML, 2000)

Adaptive Importance Sampling for Estimation in Structured Domains. - Luis E. Ortiz; Leslie Pack Kaelbling (UAI, 2000)

Learning to Cooperate via Policy Search. - Leonid Peshkin; Kee-Eung Kim; Nicolas Meuleau; Leslie Pack Kaelbling (UAI, 2000)

Approaches to macro decompositions of large Markov decision process planning problems. - Terran Lane; Leslie Pack Kaelbling (Mobile Robots, 2001)

Reinforcement learning for robot control. - William D. Smart; Leslie Pack Kaelbling (Mobile Robots, 2001)

Holonomic planar motion from non-holonomic driving mechanisms: the front-point method. - Selim Temizer; Leslie Pack Kaelbling (Mobile Robots, 2001)

Playing is believing: The role of beliefs in multi-agent learning. - Yu-Han Chang; Leslie Pack Kaelbling (NIPS, 2001)

Nearly Deterministic Abstractions of Markov Decision Processes. - Terran Lane; Leslie Pack Kaelbling (AAAI/IAAI, 2002)

Effective Reinforcement Learning for Mobile Robots. - William D. Smart; Leslie Pack Kaelbling (ICRA, 2002)

The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. - Sarah Finney; Natalia Gardiol; Leslie Pack Kaelbling; Tim Oates 001 (UAI, 2002)

Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. - Hagit Shatkay; Leslie Pack Kaelbling (J. Artif. Intell. Res., 2002)

Experience with web-based computer science education. - Leslie Pack Kaelbling (J. Comput. Sci. Coll., 2002)

All learning is Local: Multi-agent Learning in Global Reward Games. - Yu-Han Chang; Tracey Ho; Leslie Pack Kaelbling (NIPS, 2003)

Envelope-based Planning in Relational MDPs. - Natalia Hernandez-Gardiol; Leslie Pack Kaelbling (NIPS, 2003)

Approximate Planning in POMDPs with Macro-Actions. - Georgios Theocharous; Leslie Pack Kaelbling (NIPS, 2003)

A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection. - Brett R. Fajen; William H. Warren; Selim Temizer; Leslie Pack Kaelbling (Int. J. Comput. Vis., 2003)

Multi-Agent Learning in Mobilized Ad-Hoc Networks. - Yu-Han Chang; Tracey Ho; Leslie Pack Kaelbling (AAAI Technical Report (2), 2004)

Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. - Yu-Han Chang; Tracey Ho; Leslie Pack Kaelbling (ICAC, 2004)

Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. - Georgios Theocharous; Kevin P. Murphy; Leslie Pack Kaelbling (ICRA, 2004)

Learning distributed control for modular robots. - Paulina Varshavskaya; Leslie Pack Kaelbling; Daniela Rus (IROS, 2004)

Learning Probabilistic Relational Planning Rules. - Hanna Pasula; Luke S. Zettlemoyer; Leslie Pack Kaelbling (KR, 2004)

Learning Static Object Segmentation from Motion Segmentation. - Michael G. Ross; Leslie Pack Kaelbling (AAAI, 2005)

Learning Planning Rules in Noisy Stochastic Worlds. - Luke S. Zettlemoyer; Hanna Pasula; Leslie Pack Kaelbling (AAAI, 2005)

Hedged learning: regret-minimization with learning experts. - Yu-Han Chang; Leslie Pack Kaelbling (ICML, 2005)

Action-Space Partitioning for Planning. - Natalia Hernandez-Gardiol; Leslie Pack Kaelbling (AAAI, 2007)

Virtual Training for Multi-View Object Class Recognition. - Han-Pang Chiu; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CVPR, 2007)

Logical Particle Filtering. - Luke S. Zettlemoyer; Hanna M. Pasula; Leslie Pack Kaelbling (Probabilistic, Logical and Relational Learning - A Further Synthesis, 2007)

Grasping POMDPs. - Kaijen Hsiao; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2007)

Efficient Bayesian Task-Level Transfer Learning. - Daniel M. Roy 001; Leslie Pack Kaelbling (IJCAI, 2007)

Predicting Partial Paths from Planning Problem Parameters. - Sarah Finney; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Robotics: Science and Systems, 2007)

Learning Probabilistic Relational Dynamics for Multiple Tasks. - Ashwin Deshpande; Brian Milch; Luke S. Zettlemoyer; Leslie Pack Kaelbling (UAI, 2007)

Learning Symbolic Models of Stochastic Domains. - Hanna M. Pasula; Luke S. Zettlemoyer; Leslie Pack Kaelbling (J. Artif. Intell. Res., 2007)

Lifted Probabilistic Inference with Counting Formulas. - Brian Milch; Luke S. Zettlemoyer; Kristian Kersting; Michael Haimes; Leslie Pack Kaelbling (AAAI, 2008)

Learning Grammatical Models for Object Recognition. - Meg Aycinena Lippow; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Logic and Probability for Scene Interpretation, 2008)

Efficient Distributed Reinforcement Learning through Agreement. - Paulina Varshavskaya; Leslie Pack Kaelbling; Daniela Rus (DARS, 2008)

Continuous-State POMDPs with Hybrid Dynamics. - Emma Brunskill; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (ISAIM, 2008)

Multi-Agent Filtering with Infinitely Nested Beliefs. - Luke S. Zettlemoyer; Brian Milch; Leslie Pack Kaelbling (NIPS, 2008)

Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning. - Paulina Varshavskaya; Leslie Pack Kaelbling; Daniela Rus (Int. J. Robotics Res., 2008)

Learning to generate novel views of objects for class recognition. - Han-Pang Chiu; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Comput. Vis. Image Underst., 2009)

Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation. - Michael G. Ross; Leslie Pack Kaelbling (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Hierarchical Planning in the Now. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (Bridging the Gap Between Task and Motion Planning, 2010)

Class-specific grasping of 3D objects from a single 2D image. - Han-Pang Chiu; Huan Liu; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2010)

Intelligent Interaction with the Real World. - Leslie Pack Kaelbling (ECML/PKDD (1), 2010)

Task-Driven Tactile Exploration. - Kaijen Hsiao; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Robotics: Science and Systems, 2010)

Belief space planning assuming maximum likelihood observations. - Robert Platt Jr. 001; Russ Tedrake; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Robotics: Science and Systems, 2010)

Reports of the AAAI 2010 Conference Workshops. - 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; et al. (AI Mag., 2010)

Planning in partially-observable switching-mode continuous domains. - Emma Brunskill; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (Ann. Math. Artif. Intell., 2010)

Technical perspective - New bar set for intelligent vehicles. - Leslie Pack Kaelbling (Commun. ACM, 2010)

CAPIR: Collaborative Action Planning with Intention Recognition. - Truong-Huy Dinh Nguyen; David Hsu; Wee Sun Lee; Tze-Yun Leong; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Andrew Haydn Grant (AIIDE, 2011)

Hierarchical task and motion planning in the now. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2011)

DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. - Jennifer L. Barry; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IJCAI, 2011)

Bayesian Policy Search with Policy Priors. - David Wingate; Noah D. Goodman; Daniel M. Roy 001; Leslie Pack Kaelbling; Joshua B. Tenenbaum (IJCAI, 2011)

Pre-image Backchaining in Belief Space for Mobile Manipulation. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (ISRR, 2011)

Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping. - Robert Platt Jr. 001; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Russ Tedrake (ISRR, 2011)

Robust grasping under object pose uncertainty. - Kaijen Hsiao; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Auton. Robots, 2011)

Influence-Based Abstraction for Multiagent Systems. - Frans Adriaan Oliehoek; Stefan J. Witwicki; Leslie Pack Kaelbling (AAAI, 2012)

Heuristic search of multiagent influence space. - Stefan J. Witwicki; Frans A. Oliehoek; Leslie Pack Kaelbling (AAMAS, 2012)

POMCoP: Belief Space Planning for Sidekicks in Cooperative Games. - Owen Macindoe; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AIIDE, 2012)

Unifying perception, estimation and action for mobile manipulation via belief space planning. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2012)

LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. - Alejandro Perez; Robert Platt Jr. 001; George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2012)

Non-Gaussian belief space planning: Correctness and complexity. - Robert Platt Jr. 001; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Russ Tedrake (ICRA, 2012)

Collision-free state estimation. - Lawson L. S. Wong; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2012)

Manipulation with Multiple Action Types. - Jennifer L. Barry; Kaijen Hsiao; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ISER, 2012)

Symbol Acquisition for Task-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013)

A hierarchical approach to manipulation with diverse actions. - Jennifer L. Barry; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2013)

Optimization in the now: Dynamic peephole optimization for hierarchical planning. - Dylan Hadfield-Menell; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2013)

Object placement as inverse motion planning. - Anne Holladay; Jennifer L. Barry; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2013)

Manipulation-based active search for occluded objects. - Lawson L. S. Wong; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2013)

Foresight and reconsideration in hierarchical planning and execution. - Martin Levihn; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Mike Stilman (IROS, 2013)

Integrated task and motion planning in belief space. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2013)

Optimizing a Start-Stop Controller Using Policy Search. - Noel Hollingsworth; Jason Meyer; Ryan McGee; Jeffrey Doering; George Dimitri Konidaris; Leslie Pack Kaelbling (AAAI, 2014)

Constructing Symbolic Representations for High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2014)

Planning with macro-actions in decentralized POMDPs. - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling (AAMAS, 2014)

Interactive Bayesian identification of kinematic mechanisms. - Patrick R. Barragan; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2014)

Tracking the spin on a ping pong ball with the quaternion Bingham filter. - Jared Glover; Leslie Pack Kaelbling (ICRA, 2014)

Not seeing is also believing: Combining object and metric spatial information. - Lawson L. S. Wong; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2014)

A constraint-based method for solving sequential manipulation planning problems. - Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2014)

FFRob: An Efficient Heuristic for Task and Motion Planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (WAFR, 2014)

Probabilistic Planning for Decentralized Multi-Robot Systems. - Christopher Amato; George Dimitri Konidaris; Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Jonathan P. How; Leslie Pack Kaelbling (AAAI Fall Symposia, 2015)

Planning for decentralized control of multiple robots under uncertainty. - Christopher Amato; George Dimitri Konidaris; Gabriel Cruz; Christopher A. Maynor; Jonathan P. How; Leslie Pack Kaelbling (ICRA, 2015)

Symbol Acquisition for Probabilistic High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IJCAI, 2015)

Backward-forward search for manipulation planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2015)

Hierarchical planning for multi-contact non-prehensile manipulation. - Gilwoo Lee; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2015)

Generalizing Over Uncertain Dynamics for Online Trajectory Generation. - Beomjoon Kim; Albert Kim; Hongkai Dai; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ISRR (2), 2015)

Bayesian Optimization with Exponential Convergence. - Kenji Kawaguchi; Leslie Pack Kaelbling; Tomás Lozano-Pérez (NIPS, 2015)

Data association for semantic world modeling from partial views. - Lawson L. S. Wong; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2015)

Implicit belief-space pre-images for hierarchical planning and execution. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2016)

Searching for physical objects in partially known environments. - Xinkun Nie; Lawson L. S. Wong; Leslie Pack Kaelbling (ICRA, 2016)

Learning to Rank for Synthesizing Planning Heuristics. - Caelan Reed Garrett; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IJCAI, 2016)

Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. - Lawson L. S. Wong; Thanard Kurutach; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IJCAI, 2016)

Decidability of Semi-Holonomic Prehensile Task and Motion Planning. - Ashwin Deshpande; Leslie Pack Kaelbling; Tomás Lozano-Pérez (WAFR, 2016)

Policy search for multi-robot coordination under uncertainty. - Christopher Amato; George Dimitri Konidaris; Ariel Anders; Gabriel Cruz; Jonathan P. How; Leslie Pack Kaelbling (Int. J. Robotics Res., 2016)

Learning composable models of parameterized skills. - Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2017)

Learning to guide task and motion planning using score-space representation. - Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2017)

Focused model-learning and planning for non-Gaussian continuous state-action systems. - Zi Wang 004; Stefanie Jegelka; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2017)

Sample-Based Methods for Factored Task and Motion Planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (Robotics: Science and Systems, 2017)

Intelligent Robots in an Uncertain World. - Leslie Pack Kaelbling (UAI, 2017)

Learning to Acquire Information. - Yewen Pu; Leslie Pack Kaelbling; Armando Solar-Lezama (UAI, 2017)

STRIPS Planning in Infinite Domains. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2017)

Generalization in Deep Learning. - Kenji Kawaguchi; Leslie Pack Kaelbling; Yoshua Bengio (CoRR, 2017)

Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples. - Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2017)

Learning to select examples for program synthesis. - Yewen Pu; Zachery Miranda; Armando Solar-Lezama; Leslie Pack Kaelbling (CoRR, 2017)

Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. - Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2018)

Modular meta-learning. - Ferran Alet; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2018)

Learning What Information to Give in Partially Observed Domains. - Rohan Chitnis; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRL, 2018)

Adaptable replanning with compressed linear action models for learning from demonstrations. - Clement Gehring; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRL, 2018)

Selecting Representative Examples for Program Synthesis. - Yewen Pu; Zachery Miranda; Armando Solar-Lezama; Leslie Pack Kaelbling (ICML, 2018)

Reliably Arranging Objects in Uncertain Domains. - Ariel S. Anders; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2018)

Finding Frequent Entities in Continuous Data. - Ferran Alet; Rohan Chitnis; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IJCAI, 2018)

Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. - Anurag Ajay; Jiajun Wu 001; Nima Fazeli; Maria Bauzá 001; Leslie Pack Kaelbling; Joshua B. Tenenbaum; Alberto Rodriguez 003 (IROS, 2018)

Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. - Rohan Chitnis; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2018)

Active Model Learning and Diverse Action Sampling for Task and Motion Planning. - Zi Wang 004; Caelan Reed Garrett; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2018)

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. - Zi Wang 004; Beomjoon Kim; Leslie Pack Kaelbling (NeurIPS, 2018)

Look Before You Sweep: Visibility-Aware Motion Planning. - Gustavo Goretkin; Leslie Pack Kaelbling; Tomás Lozano-Pérez (WAFR, 2018)

STRIPStream: Integrating Symbolic Planners and Blackbox Samplers. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2018)

Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model. - Rohan Chitnis; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2018)

Learning sparse relational transition models. - Victoria Xia; Zi Wang 004; Leslie Pack Kaelbling (CoRR, 2018)

Residual Policy Learning. - Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001; Leslie Pack Kaelbling (CoRR, 2018)

Modular meta-learning in abstract graph networks for combinatorial generalization. - Ferran Alet; Maria Bauzá 001; Alberto Rodriguez 003; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2018)

Provably safe robot navigation with obstacle uncertainty. - Brian Axelrod; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2018)

FFRob: Leveraging symbolic planning for efficient task and motion planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (Int. J. Robotics Res., 2018)

Sampling-based methods for factored task and motion planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (Int. J. Robotics Res., 2018)

From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning. - George Dimitri Konidaris; Leslie Pack Kaelbling; Tomás Lozano-Pérez (J. Artif. Intell. Res., 2018)

Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. - Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2019)

Learning sparse relational transition models. - Victoria Xia; Zi Wang 004; Kelsey R. Allen; Tom Silver; Leslie Pack Kaelbling (ICLR (Poster), 2019)

Graph Element Networks: adaptive, structured computation and memory. - Ferran Alet; Adarsh Keshav Jeewajee; Maria Bauzá Villalonga; Alberto Rodriguez 003; Tomás Lozano-Pérez; Leslie Pack Kaelbling (ICML, 2019)

Combining Physical Simulators and Object-Based Networks for Control. - Anurag Ajay; Maria Bauzá 001; Jiajun Wu 001; Nima Fazeli; Joshua B. Tenenbaum; Alberto Rodriguez 003; Leslie Pack Kaelbling (ICRA, 2019)

Learning Quickly to Plan Quickly Using Modular Meta-Learning. - Rohan Chitnis; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2019)

Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. - Maria Bauzá 001; Ferran Alet; Yen-Chen Lin; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Phillip Isola; Alberto Rodriguez 003 (IROS, 2019)

Neural Relational Inference with Fast Modular Meta-learning. - Ferran Alet; Erica Weng; Tomás Lozano-Pérez; Leslie Pack Kaelbling (NeurIPS, 2019)

Differentiable Algorithm Networks for Composable Robot Learning. - Péter Karkus; Xiao Ma 006; David Hsu; Leslie Pack Kaelbling; Wee Sun Lee; Tomás Lozano-Pérez (Robotics: Science and Systems, 2019)

Every Local Minimum is a Global Minimum of an Induced Model. - Kenji Kawaguchi; Leslie Pack Kaelbling (CoRR, 2019)

Few-Shot Bayesian Imitation Learning with Logic over Programs. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (CoRR, 2019)

Learning to guide task and motion planning using score-space representation. - Beomjoon Kim; Zi Wang 004; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2019)

Modeling and Planning with Macro-Actions in Decentralized POMDPs. - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling; Jonathan P. How (J. Artif. Intell. Res., 2019)

Effect of Depth and Width on Local Minima in Deep Learning. - Kenji Kawaguchi; Jiaoyang Huang; Leslie Pack Kaelbling (Neural Comput., 2019)

Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. - Kenji Kawaguchi; Jiaoyang Huang; Leslie Pack Kaelbling (Neural Comput., 2019)

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. - Beomjoon Kim; Kyungjae Lee 001; Sungbin Lim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2020)

Few-Shot Bayesian Imitation Learning with Logical Program Policies. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (AAAI, 2020)

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning. - Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling (ICAPS, 2020)

Elimination of All Bad Local Minima in Deep Learning. - Kenji Kawaguchi; Leslie Pack Kaelbling (AISTATS, 2020)

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. - Rohan Chitnis; Tom Silver; Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRL, 2020)

Meta-learning curiosity algorithms. - Ferran Alet; Martin F. Schneider; Tomás Lozano-Pérez; Leslie Pack Kaelbling (ICLR, 2020)

Online Replanning in Belief Space for Partially Observable Task and Motion Problems. - Caelan Reed Garrett; Chris Paxton 001; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Dieter Fox (ICRA, 2020)

Visual Prediction of Priors for Articulated Object Interaction. - Caris Moses; Michael Noseworthy; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (ICRA, 2020)

Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. - Adarsh K. Jeewajee; Leslie Pack Kaelbling (NeurIPS, 2020)

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2020)

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. - Ferran Alet; Kenji Kawaguchi; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2020)

Learning Online Data Association. - Yilun Du; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2020)

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2021)

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. - Tom Silver; Rohan Chitnis; Aidan Curtis; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (AAAI, 2021)

A large-scale benchmark for few-shot program induction and synthesis. - Ferran Alet; Javier Lopez-Contreras; James Koppel; Maxwell I. Nye; Armando Solar-Lezama; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (ICML, 2021)

Shape-Based Transfer of Generic Skills. - Skye Thompson; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2021)

Temporal and Object Quantification Networks. - Jiayuan Mao; Zhezheng Luo; Chuang Gan 001; Joshua B. Tenenbaum; Jiajun Wu 001; Leslie Pack Kaelbling; Tomer D. Ullman (IJCAI, 2021)

Learning Symbolic Operators for Task and Motion Planning. - Tom Silver; Rohan Chitnis; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2021)

Learning When to Quit: Meta-Reasoning for Motion Planning. - Yoonchang Sung; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2021)

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. - Ferran Alet; Maria Bauzá 001; Kenji Kawaguchi; Nurullah Giray Kuru; Tomás Lozano-Pérez; Leslie Pack Kaelbling (NeurIPS, 2021)

Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. - Clement Gehring; Kenji Kawaguchi; Jiaoyang Huang; Leslie Pack Kaelbling (NeurIPS, 2021)

Active Learning of Abstract Plan Feasibility. - Michael Noseworthy; Isaiah Brand; Caris Moses; Sebastian Castro; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (Robotics: Science and Systems, 2021)

Integrated Task and Motion Planning. - Caelan Reed Garrett; Rohan Chitnis; Rachel M. Holladay; Beomjoon Kim; Tom Silver; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Annu. Rev. Control. Robotics Auton. Syst., 2021)

Specifying and achieving goals in open uncertain robot-manipulation domains. - Leslie Pack Kaelbling; Alex LaGrassa; Tomás Lozano-Pérez (CoRR, 2021)

Learning compositional models of robot skills for task and motion planning. - Zi Wang 004; Caelan Reed Garrett; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2021)

A Sufficient Statistic for Influence in Structured Multiagent Environments. - Frans A. Oliehoek; Stefan J. Witwicki; Leslie Pack Kaelbling (J. Artif. Intell. Res., 2021)

Discovering State and Action Abstractions for Generalized Task and Motion Planning. - Aidan Curtis; Tom Silver; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (AAAI, 2022)

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. - Clement Gehring; Masataro Asai; Rohan Chitnis; Tom Silver; Leslie Pack Kaelbling; Shirin Sohrabi; Michael Katz 001 (ICAPS, 2022)

Learning Neuro-Symbolic Skills for Bilevel Planning. - Tom Silver; Ashay Athalye; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2022)

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. - Anthony Simeonov; Yilun Du; Yen-Chen Lin; Alberto Rodriguez Garcia; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Pulkit Agrawal 001 (CoRL, 2022)

Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. - Aidan Curtis; Xiaolin Fang 002; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Caelan Reed Garrett (ICRA, 2022)

Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. - Sathwik Karnik; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Gustavo Nunes Goretkin (ICRA, 2022)

PG3: Policy-Guided Planning for Generalized Policy Generation. - Ryan Yang; Tom Silver; Aidan Curtis; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IJCAI, 2022)

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2022)

Learning Object-Based State Estimators for Household Robots. - Yilun Du; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2022)

Sparse and Local Networks for Hypergraph Reasoning. - Guangxuan Xiao; Leslie Pack Kaelbling; Jiajun Wu 001; Jiayuan Mao (LoG, 2022)

PDSketch: Integrated Domain Programming, Learning, and Planning. - Jiayuan Mao; Tomás Lozano-Pérez; Josh Tenenbaum 001; Leslie Pack Kaelbling (NeurIPS, 2022)

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (CoRR, 2022)

Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2022)

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. - Anthony Simeonov; Yilun Du; Yen-Chen Lin; Alberto Rodriguez 003; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Pulkit Agrawal 001 (CoRR, 2022)

Representation, learning, and planning algorithms for geometric task and motion planning. - Beomjoon Kim; Luke Shimanuki; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Int. J. Robotics Res., 2022)

Learning Rational Subgoals from Demonstrations and Instructions. - Zhezheng Luo; Jiayuan Mao; Jiajun Wu 001; Tomás Lozano-Pérez; Joshua B. Tenenbaum; Leslie Pack Kaelbling (AAAI, 2023)

Predicate Invention for Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (AAAI, 2023)

Learning Efficient Abstract Planning Models that Choose What to Predict. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2023)

Learning Reusable Manipulation Strategies. - Jiayuan Mao; Tomás Lozano-Pérez; Joshua B. Tenenbaum; Leslie Pack Kaelbling (CoRL, 2023)

Embodied Lifelong Learning for Task and Motion Planning. - Jorge Mendez-Mendez; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRL, 2023)

Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. - William Shen; Ge Yang; Alan Yu; Jansen Wong; Leslie Pack Kaelbling; Phillip Isola (CoRL, 2023)

Compositional Diffusion-Based Continuous Constraint Solvers. - Zhutian Yang; Jiayuan Mao; Yilun Du; Jiajun Wu 001; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2023)

Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. - Ethan Chun; Yilun Du; Anthony Simeonov; Tomás Lozano-Pérez; Leslie Pack Kaelbling (ICRA, 2023)

Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. - Aidan Curtis; Leslie Pack Kaelbling; Siddarth Jain (ICRA, 2023)

Visibility-Aware Navigation Among Movable Obstacles. - Jose Muguira-Iturralde; Aidan Curtis; Yilun Du; Leslie Pack Kaelbling; Tomás Lozano-Pérez (ICRA, 2023)

Compositional Foundation Models for Hierarchical Planning. - Anurag Ajay; Seungwook Han; Yilun Du; Shuang Li 013; Abhi Gupta; Tommi S. Jaakkola; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Akash Srivastava; Pulkit Agrawal 001 (NeurIPS, 2023)

What Planning Problems Can A Relational Neural Network Solve? - Jiayuan Mao; Tomás Lozano-Pérez; Joshua B. Tenenbaum; Leslie Pack Kaelbling (NeurIPS, 2023)

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. - Zhutian Yang; Caelan Reed Garrett; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Dieter Fox (Robotics: Science and Systems, 2023)

On the Expressiveness and Generalization of Hypergraph Neural Networks. - Zhezheng Luo; Jiayuan Mao; Joshua B. Tenenbaum; Leslie Pack Kaelbling (CoRR, 2023)

PDSketch: Integrated Planning Domain Programming and Learning. - Jiayuan Mao; Tomás Lozano-Pérez; Joshua B. Tenenbaum; Leslie Pack Kaelbling (CoRR, 2023)

Embodied Lifelong Learning for Task and Motion Planning. - Jorge A. Mendez; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2023)

Generalized Planning in PDDL Domains with Pretrained Large Language Models. - Tom Silver; Soham Dan; Kavitha Srinivas; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Michael Katz 001 (AAAI, 2024)

Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. - Bartlomiej Cieslar; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Jorge Mendez-Mendez (CoRL, 2024)

Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. - Aidan Curtis; Nishanth Kumar; Jing Cao; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2024)

Video Language Planning. - Yilun Du; Sherry Yang 001; Pete Florence; Fei Xia 002; Ayzaan Wahid; Brian Ichter; Pierre Sermanet; Tianhe Yu; Pieter Abbeel; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Andy Zeng 001; et al. (ICLR, 2024)

Learning Interactive Real-World Simulators. - Sherry Yang 001; Yilun Du; Seyed Kamyar Seyed Ghasemipour; Jonathan Tompson; Leslie Pack Kaelbling; Dale Schuurmans; Pieter Abbeel (ICLR, 2024)

Position: Compositional Generative Modeling: A Single Model is Not All You Need. - Yilun Du; Leslie Pack Kaelbling (ICML, 2024)

Scaling Exponents Across Parameterizations and Optimizers. - 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 001; Jeffrey Pennington (ICML, 2024)

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. - Xiaolin Fang 002; Caelan Reed Garrett; Clemens Eppner; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Dieter Fox (IROS, 2024)

Embodied Uncertainty-Aware Object Segmentation. - Xiaolin Fang 002; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2024)

Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. - Aidan Curtis; George Matheos; Nishad Gothoskar; Vikash Mansinghka 001; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (Robotics: Science and Systems, 2024)

Practice Makes Perfect: Planning to Learning Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (Robotics: Science and Systems, 2024)

Set It Up!: Functional Object Arrangement with Compositional Generative Models. - Yiqing Xu; Jiayuan Mao; Yilun Du; Tomás Lozano-Pérez; Leslie Pack Kaelbling; David Hsu (Robotics: Science and Systems, 2024)

Compositional Generative Modeling: A Single Model is Not All You Need. - Yilun Du; Leslie Pack Kaelbling (CoRR, 2024)

Practice Makes Perfect: Planning to Learn Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (CoRR, 2024)

GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets. - Shao Y. C. Chia; Rebecca H. Jiang; Bernhard P. Graesdal; Leslie Pack Kaelbling; Russ Tedrake (CoRR, 2024)

Towards Practical Finite Sample Bounds for Motion Planning in TAMP. - Seiji Shaw; Aidan Curtis; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Nicholas Roy (CoRR, 2024)

Bi-Level Belief Space Search for Compliant Part Mating Under Uncertainty. - Sahit Chintalapudi; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2024)

Learning to Bridge the Gap: Efficient Novelty Recovery with Planning and Reinforcement Learning. - Alicia Li; Nishanth Kumar; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Guiding Long-Horizon Task and Motion Planning with Vision Language Models. - Zhutian Yang; Caelan Reed Garrett; Dieter Fox; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Combining Planning and Diffusion for Mobility with Unknown Dynamics. - Yajvan Ravan; Zhutian Yang; Tao Chen; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Keypoint Abstraction using Large Models for Object-Relative Imitation Learning. - Xiaolin Fang 002; Bo-Ruei Huang; Jiayuan Mao; Jasmine Shone; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation. - Aditya Agarwal; Gaurav Singh; Bipasha Sen; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

One-Shot Manipulation Strategy Learning by Making Contact Analogies. - Yuyao Liu; Jiayuan Mao; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2024)

Functional Risk Minimization. - Ferran Alet; Clement Gehring; Tomás Lozano-Pérez; Kenji Kawaguchi; Joshua B. Tenenbaum; Leslie Pack Kaelbling (CoRR, 2024)

Predicate Invention from Pixels via Pretrained Vision-Language Models. - Ashay Athalye; Nishanth Kumar; Tom Silver; Yichao Liang; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. - Aidan Curtis; Eric Li; Michael Noseworthy; Nishad Gothoskar; Sachin Chitta; Hui Li; Leslie Pack Kaelbling; Nicole Carey (CoRR, 2025)

Guided Exploration for Efficient Relational Model Learning. - Annie Feng; Nishanth Kumar; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. - Linfeng Zhao; Willie McClinton; Aidan Curtis; Nishanth Kumar; Tom Silver; Leslie Pack Kaelbling; Lawson L. S. Wong (CoRR, 2025)

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation. - Aidan Curtis; Hao Tang 008; Thiago Veloso; Kevin Ellis; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories. - Sunshine Jiang; Xiaolin Fang 002; Nicholas Roy; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Siddharth Ancha (CoRR, 2025)

"Set It Up": Functional Object Arrangement with Compositional Generative Models (Journal Version). - Yiqing Xu; Jiayuan Mao; Linfeng Li; Yilun Du; Tomás Lozano-Pérez; Leslie Pack Kaelbling; David Hsu (CoRR, 2025)

Rational Inverse Reasoning. - Ben Zandonati; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)