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06/01/2023
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Model-based reinforcement learning (RL) has shown great promise due to i...
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05/23/2023
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning
Offline reinforcement learning (RL) allows agents to learn effective, re...
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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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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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10/19/2021
Towards Optimal Correlational Object Search
In realistic applications of object search, robots will need to locate t...
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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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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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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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09/30/2019
Efficient Bimanual Manipulation Using Learned Task Schemas
We address the problem of effectively composing skills to solve sparse-r...
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09/30/2019
Learning Compact Models for Planning with Exogenous Processes
We address the problem of approximate model minimization for MDPs in whi...
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09/20/2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning
Multi-object manipulation problems in continuous state and action spaces...
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05/21/2018
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model
In many real-world robotic applications, an autonomous agent must act wi...
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05/08/2018
Finding Frequent Entities in Continuous Data
In many applications that involve processing high-dimensional data, it i...
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02/28/2018
