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05/26/2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Training multiple agents to coordinate is an important problem with appl...
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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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05/17/2023
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor
Social media platforms moderate content for each user by incorporating t...
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04/03/2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
In goal-reaching reinforcement learning (RL), the optimal value function...
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02/16/2023
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods
It is well known that Reinforcement Learning (RL) can be formulated as a...
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02/11/2022
Online Decision Transformer
Recent work has shown that offline reinforcement learning (RL) can be fo...
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04/20/2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Model-based reinforcement learning is a compelling framework for data-ef...
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07/14/2020
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Multi-task reinforcement learning is a rich paradigm where information f...
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03/02/2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Generalizing outside of the training distribution is an open challenge f...
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10/02/2019
