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05/18/2023
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Recent work has considered whether large language models (LLMs) can func...
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03/08/2023
Embodied Active Learning of Relational State Abstractions for Bilevel Planning
State abstraction is an effective technique for planning in robotics env...
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08/16/2022
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains
Bilevel planning, in which a high-level search over an abstraction of an...
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06/21/2022
Learning Neuro-Symbolic Skills for Bilevel Planning
Decision-making is challenging in robotics environments with continuous ...
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04/21/2022
PG3: Policy-Guided Planning for Generalized Policy Generation
A longstanding objective in classical planning is to synthesize policies...
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03/17/2022
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning
Effective and efficient planning in continuous state and action spaces i...
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09/30/2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Recent advances in reinforcement learning (RL) have led to a growing int...
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09/23/2021
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Generalized planning accelerates classical planning by finding an algori...
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05/28/2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
Despite recent, independent progress in model-based reinforcement learni...
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02/28/2021
Learning Symbolic Operators for Task and Motion Planning
Robotic planning problems in hybrid state and action spaces can be solve...
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10/02/2020
Integrated Task and Motion Planning
The problem of planning for a robot that operates in environments contai...
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09/11/2020
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Real-world planning problems often involve hundreds or even thousands of...
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07/26/2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Meta-planning, or learning to guide planning from experience, is a promi...
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06/13/2020
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
People routinely infer the goals of others by observing their actions ov...
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02/15/2020
PDDLGym: Gym Environments from PDDL Problems
We present PDDLGym, a framework that automatically constructs OpenAI Gym...
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01/22/2020
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning
We address the problem of efficient exploration for learning lifted oper...
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04/12/2019
Few-Shot Bayesian Imitation Learning with Logic over Programs
We describe an expressive class of policies that can be efficiently lear...
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12/15/2018
Residual Policy Learning
We present Residual Policy Learning (RPL): a simple method for improving...
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06/14/2017
