Leslie Pack Kaelbling
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
152
Venues
18
Active years
1986–2025
Best venue rank
A*
Where they publish
Papers
152 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 E. Carey |
| 2025 | ICRA | KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning. | Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2025 | ICRA | One-Shot Manipulation Strategy Learning by Making Contact Analogies. | Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2025 | ICRA | Guiding Long-Horizon Task and Motion Planning with Vision Language Models. | Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2024 | AAAI | Generalized Planning in PDDL Domains with Pretrained Large Language Models. | Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz |
| 2024 | CoRL | Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning. | Bartlomiej Cieslar, Leslie Pack Kaelbling, Toms Lozano-Prez, Jorge Mendez-Mendez |
| 2024 | CoRL | Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. | Aidan Curtis, Nishanth Kumar, Jing Cao, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2024 | ICLR | Video Language Planning. | 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 |
| 2024 | ICLR | Learning Interactive Real-World Simulators. | Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel |
| 2024 | ICML | Position: Compositional Generative Modeling: A Single Model is Not All You Need. | Yilun Du, Leslie Pack Kaelbling |
| 2024 | ICML | 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, Jeffrey Pennington |
| 2024 | IROS | DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. | Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Toms Lozano-Prez, Leslie Pack Kaelbling, Dieter Fox |
| 2024 | IROS | Embodied Uncertainty-Aware Object Segmentation. | Xiaolin Fang, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2023 | AAAI | Learning Rational Subgoals from Demonstrations and Instructions. | Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | AAAI | Predicate Invention for Bilevel Planning. | Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Toms Lozano-Prez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2023 | CoRL | Learning Efficient Abstract Planning Models that Choose What to Predict. | Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | CoRL | Learning Reusable Manipulation Strategies. | Jiayuan Mao, Toms Lozano-Prez, Joshua B. Tenenbaum, Leslie Pack Kaelbling |
| 2023 | CoRL | Embodied Lifelong Learning for Task and Motion Planning. | Jorge Mendez-Mendez, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2023 | CoRL | Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. | William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola |
| 2023 | CoRL | Compositional Diffusion-Based Continuous Constraint Solvers. | Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | ICRA | Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. | Ethan Chun, Yilun Du, Anthony Simeonov, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | ICRA | Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. | Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain |
| 2023 | ICRA | Visibility-Aware Navigation Among Movable Obstacles. | Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2022 | AAAI | Discovering State and Action Abstractions for Generalized Task and Motion Planning. | Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | CoRL | Learning Neuro-Symbolic Skills for Bilevel Planning. | Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | CoRL | SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. | Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Toms Lozano-Prez, Pulkit Agrawal |
| 2022 | IJCAI | PG3: Policy-Guided Planning for Generalized Policy Generation. | Ryan Yang, Tom Silver, Aidan Curtis, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | ICRA | Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. | Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Toms Lozano-Prez, Caelan Reed Garrett |
| 2022 | ICRA | Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications. | Sathwik Karnik, Toms Lozano-Prez, Leslie Pack Kaelbling, Gustavo Nunes Goretkin |
| 2022 | IROS | Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. | Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | IROS | Learning Object-Based State Estimators for Household Robots. | Yilun Du, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2021 | AAAI | GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. | Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2021 | AAAI | Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. | Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2021 | ICML | A large-scale benchmark for few-shot program induction and synthesis. | Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Toms Lozano-Prez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2021 | IJCAI | Temporal and Object Quantification Networks. | Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman |
| 2021 | IROS | Learning Symbolic Operators for Task and Motion Planning. | Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2021 | IROS | Learning When to Quit: Meta-Reasoning for Motion Planning. | Yoonchang Sung, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2021 | ICRA | Shape-Based Transfer of Generic Skills. | Skye Thompson, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2020 | AAAI | Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. | Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2020 | AAAI | Few-Shot Bayesian Imitation Learning with Logical Program Policies. | Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum |
| 2020 | AISTATS | Elimination of All Bad Local Minima in Deep Learning. | Kenji Kawaguchi, Leslie Pack Kaelbling |
| 2020 | CoRL | CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. | Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2020 | ICLR | Meta-learning curiosity algorithms. | Ferran Alet, Martin F. Schneider, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2020 | ICRA | Online Replanning in Belief Space for Partially Observable Task and Motion Problems. | Caelan Reed Garrett, Chris Paxton, Toms Lozano-Prez, Leslie Pack Kaelbling, Dieter Fox |
| 2020 | ICRA | Visual Prediction of Priors for Articulated Object Interaction. | Caris Moses, Michael Noseworthy, Leslie Pack Kaelbling, Toms Lozano-Prez, Nicholas Roy |
| 2019 | AAAI | Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience. | Beomjoon Kim, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2019 | ICLR | Learning sparse relational transition models. | Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling |
| 2019 | ICML | Graph Element Networks: adaptive, structured computation and memory. | Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauz Villalonga, Alberto Rodriguez, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2019 | ICRA | Combining Physical Simulators and Object-Based Networks for Control. | Anurag Ajay, Maria Bauz, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling |
| 2019 | ICRA | Learning Quickly to Plan Quickly Using Modular Meta-Learning. | Rohan Chitnis, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2019 | IROS | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. | Maria Bauz, Ferran Alet, Yen-Chen Lin, Toms Lozano-Prez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez |
| 2018 | AAAI | Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience. | Beomjoon Kim, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | CoRL | Modular meta-learning. | Ferran Alet, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2018 | CoRL | Learning What Information to Give in Partially Observed Domains. | Rohan Chitnis, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | CoRL | Adaptable replanning with compressed linear action models for learning from demonstrations. | Clement Gehring, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | ICML | Selecting Representative Examples for Program Synthesis. | Yewen Pu, Zachery Miranda, Armando Solar-Lezama, Leslie Pack Kaelbling |
| 2018 | IJCAI | Finding Frequent Entities in Continuous Data. | Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | ICRA | Reliably Arranging Objects in Uncertain Domains. | Ariel S. Anders, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | IROS | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. | Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauz, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez |
| 2018 | IROS | Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization. | Rohan Chitnis, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | IROS | Active Model Learning and Diverse Action Sampling for Task and Motion Planning. | Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | WAFR | Look Before You Sweep: Visibility-Aware Motion Planning. | Gustavo Goretkin, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2017 | ICRA | Learning composable models of parameterized skills. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2017 | ICRA | Learning to guide task and motion planning using score-space representation. | Beomjoon Kim, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2017 | ICRA | Focused model-learning and planning for non-Gaussian continuous state-action systems. | Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2017 | UAI | Intelligent Robots in an Uncertain World. | Leslie Pack Kaelbling |
| 2017 | UAI | Learning to Acquire Information. | Yewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama |
| 2016 | IJCAI | Learning to Rank for Synthesizing Planning Heuristics. | Caelan Reed Garrett, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2016 | IJCAI | Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. | Lawson L. S. Wong, Thanard Kurutach, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2016 | ICRA | Implicit belief-space pre-images for hierarchical planning and execution. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2016 | ICRA | Searching for physical objects in partially known environments. | Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling |
| 2016 | WAFR | Decidability of Semi-Holonomic Prehensile Task and Motion Planning. | Ashwin Deshpande, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2015 | IJCAI | Symbol Acquisition for Probabilistic High-Level Planning. | George Dimitri Konidaris, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2015 | ICRA | 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 |
| 2015 | IROS | Backward-forward search for manipulation planning. | Caelan Reed Garrett, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2015 | IROS | Hierarchical planning for multi-contact non-prehensile manipulation. | Gilwoo Lee, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2015 | ISRR | Generalizing Over Uncertain Dynamics for Online Trajectory Generation. | Beomjoon Kim, Albert Kim, Hongkai Dai, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2014 | AAAI | Optimizing a Start-Stop Controller Using Policy Search. | Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Dimitri Konidaris, Leslie Pack Kaelbling |
| 2014 | AAAI | Constructing Symbolic Representations for High-Level Planning. | George Dimitri Konidaris, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2014 | ICRA | Interactive Bayesian identification of kinematic mechanisms. | Patrick R. Barragan, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2014 | ICRA | Tracking the spin on a ping pong ball with the quaternion Bingham filter. | Jared Glover, Leslie Pack Kaelbling |
| 2014 | IROS | A constraint-based method for solving sequential manipulation planning problems. | Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2014 | ICRA | Not seeing is also believing: Combining object and metric spatial information. | Lawson L. S. Wong, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2014 | WAFR | FFRob: An Efficient Heuristic for Task and Motion Planning. | Caelan Reed Garrett, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2013 | AAAI | Symbol Acquisition for Task-Level Planning. | George Dimitri Konidaris, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2013 | ICRA | A hierarchical approach to manipulation with diverse actions. | Jennifer L. Barry, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2013 | ICRA | Optimization in the now: Dynamic peephole optimization for hierarchical planning. | Dylan Hadfield-Menell, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2013 | ICRA | Object placement as inverse motion planning. | Anne Holladay, Jennifer L. Barry, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2013 | IROS | Foresight and reconsideration in hierarchical planning and execution. | Martin Levihn, Leslie Pack Kaelbling, Toms Lozano-Prez, Mike Stilman |
| 2013 | ICRA | Manipulation-based active search for occluded objects. | Lawson L. S. Wong, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2013 | ISRR | Data Association for Semantic World Modeling from Partial Views. | Lawson L. S. Wong, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2012 | AAAI | Influence-Based Abstraction for Multiagent Systems. | Frans Adriaan Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling |
| 2012 | AAMAS | Heuristic search of multiagent influence space. | Stefan J. Witwicki, Frans A. Oliehoek, Leslie Pack Kaelbling |
| 2012 | ICRA | Unifying perception, estimation and action for mobile manipulation via belief space planning. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2012 | ICRA | LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. | Alejandro Perez, Robert Platt Jr., George Dimitri Konidaris, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2012 | ICRA | Non-Gaussian belief space planning: Correctness and complexity. | Robert Platt Jr., Leslie Pack Kaelbling, Toms Lozano-Prez, Russ Tedrake |
| 2012 | ICRA | Collision-free state estimation. | Lawson L. S. Wong, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2011 | IJCAI | DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. | Jennifer L. Barry, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2011 | IJCAI | Bayesian Policy Search with Policy Priors. | David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2011 | ICRA | Hierarchical task and motion planning in the now. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2011 | ISRR | Pre-image Backchaining in Belief Space for Mobile Manipulation. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2011 | ISRR | Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping. | Robert Platt Jr., Leslie Pack Kaelbling, Toms Lozano-Prez, Russ Tedrake |
| 2010 | AAAI | Hierarchical Planning in the Now. | Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2010 | IROS | Class-specific grasping of 3D objects from a single 2D image. | Han-Pang Chiu, Huan Liu, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2008 | AAAI | Lifted Probabilistic Inference with Counting Formulas. | Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling |
| 2008 | ISAIM | Continuous-State POMDPs with Hybrid Dynamics. | Emma Brunskill, Leslie Pack Kaelbling, Toms Lozano-Prez, Nicholas Roy |
| 2007 | AAAI | Action-Space Partitioning for Planning. | Natalia Hernandez-Gardiol, Leslie Pack Kaelbling |
| 2007 | CVPR | Virtual Training for Multi-View Object Class Recognition. | Han-Pang Chiu, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2007 | IJCAI | Efficient Bayesian Task-Level Transfer Learning. | Daniel M. Roy, Leslie Pack Kaelbling |
| 2007 | ICRA | Grasping POMDPs. | Kaijen Hsiao, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2007 | UAI | Learning Probabilistic Relational Dynamics for Multiple Tasks. | Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling |
| 2005 | AAAI | Learning Static Object Segmentation from Motion Segmentation. | Michael G. Ross, Leslie Pack Kaelbling |
| 2005 | AAAI | Learning Planning Rules in Noisy Stochastic Worlds. | Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling |
| 2005 | ICML | Hedged learning: regret-minimization with learning experts. | Yu-Han Chang, Leslie Pack Kaelbling |
| 2004 | IROS | Learning distributed control for modular robots. | Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus |
| 2004 | ICRA | Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. | Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling |
| 2004 | KR | Learning Probabilistic Relational Planning Rules. | Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling |
| 2002 | AAAI | Nearly Deterministic Abstractions of Markov Decision Processes. | Terran Lane, Leslie Pack Kaelbling |
| 2002 | ICRA | Effective Reinforcement Learning for Mobile Robots. | William D. Smart, Leslie Pack Kaelbling |
| 2002 | UAI | The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. | Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates |
| 2000 | AAAI | Sampling Methods for Action Selection in Influence Diagrams. | Luis E. Ortiz, Leslie Pack Kaelbling |
| 2000 | ICML | State-based Classification of Finger Gestures from Electromyographic Signals. | Peter Ju, Leslie Pack Kaelbling, Yoram Singer |
| 2000 | ICML | Practical Reinforcement Learning in Continuous Spaces. | William D. Smart, Leslie Pack Kaelbling |
| 2000 | UAI | Adaptive Importance Sampling for Estimation in Structured Domains. | Luis E. Ortiz, Leslie Pack Kaelbling |
| 2000 | UAI | Learning to Cooperate via Policy Search. | Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling |
| 1999 | ICML | Learning Policies with External Memory. | Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling |
| 1999 | IJCAI | Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. | Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling |
| 1999 | UAI | Solving POMDPs by Searching the Space of Finite Policies. | Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra |
| 1999 | UAI | Learning Finite-State Controllers for Partially Observable Environments. | Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling |
| 1999 | UAI | Accelerating EM: An Empirical Study. | Luis E. Ortiz, Leslie Pack Kaelbling |
| 1998 | AAAI | 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 |
| 1998 | AAAI | A Framework for Reinforcement Learning on Real Robots. | William D. Smart, Leslie Pack Kaelbling |
| 1998 | ICML | Heading in the Right Direction. | Hagit Shatkay, Leslie Pack Kaelbling |
| 1998 | UAI | Hierarchical Solution of Markov Decision Processes using Macro-actions. | Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier |
| 1997 | IJCAI | Learning Topological Maps with Weak Local Odometric Information. | Hagit Shatkay, Leslie Pack Kaelbling |
| 1996 | IROS | Acting under uncertainty: discrete Bayesian models for mobile-robot navigation. | Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien |
| 1996 | IROS | On reinforcement learning for robots. | Leslie Pack Kaelbling |
| 1995 | ICML | Learning Policies for Partially Observable Environments: Scaling Up. | Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling |
| 1995 | KI | Partially Observable Markov Decision Processes for Artificial Intelligence. | Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra |
| 1995 | UAI | On the Complexity of Solving Markov Decision Problems. | Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling |
| 1994 | AAAI | Acting Optimally in Partially Observable Stochastic Domains. | Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman |
| 1994 | ECAI | Learning and intelligent Agents. | Leslie Pack Kaelbling |
| 1993 | AAAI | Planning With Deadlines in Stochastic Domains. | Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson |
| 1993 | ICML | Hierarchical Learning in Stochastic Domains: Preliminary Results. | Leslie Pack Kaelbling |
| 1993 | IJCAI | Learning to Achieve Goals. | Leslie Pack Kaelbling |
| 1993 | UAI | Deliberation Scheduling for Time-Critical Sequential Decision Making. | Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson |
| 1992 | AAAI | 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 |
| 1991 | IJCAI | Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. | David Chapman, Leslie Pack Kaelbling |
| 1990 | ICML | Learning Functions in k-DNF from Reinforcement. | Leslie Pack Kaelbling |
| 1989 | ICML | A Formal Framework for Learning in Embedded Systems. | Leslie Pack Kaelbling |
| 1988 | AAAI | Goals as Parallel Program Specifications. | Leslie Pack Kaelbling |
| 1986 | TARK | The Synthesis of Digital Machines With Provable Epistemic Properties. | Stanley J. Rosenschein, Leslie Pack Kaelbling |