Leslie Pack Kaelbling

Differentiable GPU-Parallelized Task and Motion Planning RSS 2025 Flow-based Domain Randomization for Learning and Sequencing Robotic Skills ICML 2025 LLM-Guided Probabilistic Program Induction for POMDP Model Estimation CoRL 2025 Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories CoRL 2025 Learning Interactive Real-World Simulators ICLR 2024 Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning CoRL 2024 Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness RSS 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Practice Makes Perfect: Planning to Learning Skill Parameter Policies RSS 2024 Scaling Exponents Across Parameterizations and Optimizers ICML 2024 Set It Up!: Functional Object Arrangement with Compositional Generative Models RSS 2024 Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction CoRL 2024 Video Language Planning ICLR 2024 Compositional Diffusion-Based Continuous Constraint Solvers CoRL 2023 Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CoRL 2023 Embodied Lifelong Learning for Task and Motion Planning CoRL 2023 Learning Efficient Abstract Planning Models that Choose What to Predict CoRL 2023 Learning Rational Subgoals from Demonstrations and Instructions AAAI 2023 Learning Reusable Manipulation Strategies CoRL 2023 Learning Neuro-Symbolic Skills for Bilevel Planning CoRL 2022 SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields CoRL 2022 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks AAAI 2021 Temporal and Object Quantification Networks IJCAI 2021 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Meta-learning curiosity algorithms ICLR 2020 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 Learning sparse relational transition models ICLR 2019 Neural Relational Inference with Fast Modular Meta-learning NeurIPS 2019 Adaptable replanning with compressed linear action models for learning from demonstrations CoRL 2018 Learning What Information to Give in Partially Observed Domains CoRL 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Learning to Rank for Synthesizing Planning Heuristics IJCAI 2016 Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures IJCAI 2016 Bayesian Optimization with Exponential Convergence NeurIPS 2015