Lozano-Pérez, Tomás

51 publications

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

CoRL 2025 Streaming Flow Policy: Simplifying Diffusion/flow-Matching Policies by Treating Action Trajectories as Flow Trajectories Sunshine Jiang, Xiaolin Fang, Nicholas Roy, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Siddharth Ancha

CoRL 2024 Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning Bartłomiej Cieślar, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Jorge Mendez-Mendez

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

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

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

CoRL 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

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

CoRL 2023 Learning Reusable Manipulation Strategies Jiayuan Mao, 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

NeurIPS 2023 What Planning Problems Can a Relational Neural Network Solve? Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling

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

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

NeurIPSW 2022 PDDL Planning with Pretrained Large Language Models Tom Silver, Varun Hariprasad, Reece S Shuttleworth, Nishanth Kumar, Tomás Lozano-Pérez, Leslie Pack Kaelbling

NeurIPS 2022 PDSketch: Integrated Domain Programming, Learning, and Planning Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling

IJCAI 2022 PG3: Policy-Guided Planning for Generalized Policy Generation Ryan Yang, Tom Silver, Aidan Curtis, 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

ICML 2021 A Large-Scale Benchmark for Few-Shot Program Induction and Synthesis Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell Nye, Armando Solar-Lezama, Tomas Lozano-Perez, Leslie Kaelbling, Joshua Tenenbaum

AAAI 2021 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

NeurIPS 2021 Tailoring: Encoding Inductive Biases by Optimizing Unsupervised Objectives at Prediction Time Ferran Alet, Maria Bauza, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie P. Kaelbling

CoRL 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Kaelbling, Tomas Lozano-Perez

ICLR 2020 Meta-Learning Curiosity Algorithms Ferran Alet, Martin F. Schneider, Tomas Lozano-Perez, Leslie Pack Kaelbling

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

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

ICML 2019 Graph Element Networks: Adaptive, Structured Computation and Memory Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauza Villalonga, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Kaelbling

CoRL 2019 Learning Compact Models for Planning with Exogenous Processes Rohan Chitnis, Tomás Lozano-Pérez

NeurIPS 2019 Neural Relational Inference with Fast Modular Meta-Learning Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRL 2018 Adaptable Replanning with Compressed Linear Action Models for Learning from Demonstrations Clement Gehring, Leslie Pack Kaelbling, Tomás Lozano-Pérez

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

JAIR 2018 From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning George Dimitri Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez

AAAI 2018 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

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

CoRL 2018 Modular Meta-Learning Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling

IJCAI 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

NeurIPS 2015 Bayesian Optimization with Exponential Convergence Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez

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

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

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

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

CVPR 1999 A Framework for Learning Query Concepts in Image Classification Aparna Lakshmi Ratan, Oded Maron, W. Eric L. Grimson, Tomás Lozano-Pérez

NeurIPS 1997 A Framework for Multiple-Instance Learning Oded Maron, Tomás Lozano-Pérez

CVPR 1994 An Automatic Registration Method for Frameless Stereotaxy, Image Guided Surgery, and Enhanced Reality Visualization W. Eric L. Grimson, Tomás Lozano-Pérez, Steve J. White, William M. Wells Iii, Ron Kikinis, Gil J. Ettinger

NeurIPS 1993 A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction Thomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, Tomás Lozano-Pérez

CVPR 1993 An Automatic Tube Inspection System That Finds Cylinders in Range Data W. Eric L. Grimson, Tomás Lozano-Pérez, N. Noble, Steve J. White

IJCAI 1989 Extending the Constraint Propagation of Intervals Allen C. Ward, Tomás Lozano-Pérez, Warren P. Seering

AAAI 1986 A Simple Motion Planning Algorithm for General Robot Manipulators Tomás Lozano-Pérez

IJCAI 1983 A Subdivision Algorithm Configuration Space for Findpath with Rotation Rodney A. Brooks, Tomás Lozano-Pérez

IJCAI 1977 LAMA: A Language for Automatic Mechanical Assembly Tomás Lozano-Pérez, Patrick H. Winston