← Authors

Tomás Lozano-Pérez

45 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🏃 Academic Marathon (10) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🤝 Dynamic Duo (25) 🏆 Grand Slam 🔬 Deep Specialist (22) 🧬 Topic Evolution 🏆 Keyword Champion (12) 🔥 Unstoppable (11) ❓ The Questioner 🗃️ Keyword Collector (179) 💎 Century Club (45) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (5)

Conferences

CORL (15) RSS (10) AAAI (7) IJCAI (5) NIPS (5) ICML (2) ICLR (1)

Top co-authors

Leslie Pack Kaelbling (25) Leslie Kaelbling (13) Joshua B. Tenenbaum (10) Tom Silver (9) Rohan Chitnis (8) Jiayuan Mao (6) Ferran Alet (6) Aidan Curtis (6) Leslie P. Kaelbling (5) Nishanth Kumar (5)

Keywords

task and motion planning (12) motion planning (4) graph neural network (4) state abstraction (3) model-based reinforcement learning (3) learning from demonstration (3) bilevel planning (3) robot manipulation (3) policy learning (3) neural module (2) abstract planning (2) active learning (2) transition model (2) task planning (2) neural sampler (2) model-based planning (2) generative model (2) constraint satisfaction (2) hierarchical planning (2) markov decision process (2)

Papers

Differentiable GPU-Parallelized Task and Motion Planning RSS 2025
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories CORL 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation CORL 2025
Set It Up!: Functional Object Arrangement with Compositional Generative Models RSS 2024
Practice Makes Perfect: Planning to Learning Skill Parameter Policies RSS 2024
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness RSS 2024
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning CORL 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction CORL 2024
Learning Rational Subgoals from Demonstrations and Instructions AAAI 2023
What Planning Problems Can A Relational Neural Network Solve? NIPS 2023
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning RSS 2023
Learning Reusable Manipulation Strategies CORL 2023
Learning Efficient Abstract Planning Models that Choose What to Predict CORL 2023
Embodied Lifelong Learning for Task and Motion Planning CORL 2023
Compositional Diffusion-Based Continuous Constraint Solvers CORL 2023
Predicate Invention for Bilevel Planning AAAI 2023
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields CORL 2022
Learning Neuro-Symbolic Skills for Bilevel Planning CORL 2022
PG3: Policy-Guided Planning for Generalized Policy Generation IJCAI 2022
PDSketch: Integrated Domain Programming, Learning, and Planning NIPS 2022
Discovering State and Action Abstractions for Generalized Task and Motion Planning AAAI 2022
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time NIPS 2021
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks AAAI 2021
A large-scale benchmark for few-shot program induction and synthesis ICML 2021
Active Learning of Abstract Plan Feasibility RSS 2021
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion RSS 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
Meta-learning curiosity algorithms ICLR 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019
Graph Element Networks: adaptive, structured computation and memory ICML 2019
Differentiable Algorithm Networks for Composable Robot Learning RSS 2019
Neural Relational Inference with Fast Modular Meta-learning NIPS 2019
Learning Compact Models for Planning with Exogenous Processes CORL 2019
Modular meta-learning CORL 2018
Adaptable replanning with compressed linear action models for learning from demonstrations CORL 2018
Learning What Information to Give in Partially Observed Domains CORL 2018
Finding Frequent Entities in Continuous Data IJCAI 2018
Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017
Sample-Based Methods for Factored Task and Motion Planning RSS 2017
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures IJCAI 2016
Learning to Rank for Synthesizing Planning Heuristics IJCAI 2016
Bayesian Optimization with Exponential Convergence NIPS 2015
Symbol Acquisition for Probabilistic High-Level Planning IJCAI 2015