Leslie Pack Kaelbling
35 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(41)
π
Grand Slam
π€
Dynamic Duo
(25)
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Conference Pioneer
π₯
Unstoppable
(8)
π
Century Club
(35)
π
Trend Setter
ποΈ
Keyword Collector
(113)
β‘
Prolific Year
(6)
Conferences
CORL (13)
AAAI (5)
ICLR (4)
RSS (4)
ICML (3)
IJCAI (3)
NIPS (3)
Top co-authors
Keywords
task and motion planning
(8)
model-based reinforcement learning
(2)
robot manipulation
(2)
symbolic operator
(2)
generative model
(2)
bayesian optimization
(2)
task planning
(2)
diffusion model
(2)
neural sampler
(2)
graph neural network
(2)
few-shot learning
(2)
bilevel planning
(2)
relational learning
(2)
learning from demonstration
(2)
probabilistic grammar
(1)
non-convex optimization
(1)
hierarchical planning
(1)
scene understanding
(1)
reinforcement learning
(1)
bayesian inference
(1)
Papers
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
Practice Makes Perfect: Planning to Learning Skill Parameter Policies
RSS 2024
Video Language Planning
ICLR 2024
Position: Compositional Generative Modeling: A Single Model is Not All You Need
ICML 2024
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness
RSS 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
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning
CORL 2024
Scaling Exponents Across Parameterizations and Optimizers
ICML 2024
Learning Interactive Real-World Simulators
ICLR 2024
Embodied Lifelong Learning for Task and Motion Planning
CORL 2023
Learning Efficient Abstract Planning Models that Choose What to Predict
CORL 2023
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
CORL 2023
Learning Rational Subgoals from Demonstrations and Instructions
AAAI 2023
Learning Reusable Manipulation Strategies
CORL 2023
Compositional Diffusion-Based Continuous Constraint Solvers
CORL 2023
Learning Neuro-Symbolic Skills for Bilevel Planning
CORL 2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
CORL 2022
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
AAAI 2021
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
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
Learning sparse relational transition models
ICLR 2019
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
AAAI 2019
Neural Relational Inference with Fast Modular Meta-learning
NIPS 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
NIPS 2018
Learning What Information to Give in Partially Observed Domains
CORL 2018
Adaptable replanning with compressed linear action models for learning from demonstrations
CORL 2018
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