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05/31/2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Recent offline meta-reinforcement learning (meta-RL) methods typically u...
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07/12/2022
Towards Global Optimality in Cooperative MARL with Sequential Transformation
Policy learning in multi-agent reinforcement learning (MARL) is challeng...
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10/01/2021
Offline Reinforcement Learning with Reverse Model-based Imagination
In offline reinforcement learning (offline RL), one of the main challeng...
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09/26/2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
In cooperative multi-agent reinforcement learning (MARL), where agents o...
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05/31/2021
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning
Goal-conditioned hierarchical reinforcement learning (HRL) serves as a s...
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08/03/2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning
We explore value-based multi-agent reinforcement learning (MARL) in the ...
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06/15/2020
Learn to Effectively Explore in Context-Based Meta-RL
Meta reinforcement learning (meta-RL) provides a principled approach for...
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05/31/2020
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning
Value decomposition is a popular and promising approach to scaling up mu...
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10/12/2019
Influence-Based Multi-Agent Exploration
Intrinsically motivated reinforcement learning aims to address the explo...
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10/11/2019
Learning Nearly Decomposable Value Functions Via Communication Minimization
Reinforcement learning encounters major challenges in multi-agent settin...
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04/16/2019