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Wenyuan Tao

2 accepted papers

2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration

ICML 2022spotlight

Learning to collaborate is critical in Multi-Agent Reinforcement Learning (MARL). Previous works promote collaboration by maximizing the correlation of agents’ behaviors, which is typically characterized by Mutual Information (MI) in different forms. However, we reveal sub-optimal collaborative beha…

2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator

AAAI 2022technical

We study Policy-extended Value Function Approximator (PeVFA) in Reinforcement Learning (RL), which extends conventional value function approximator (VFA) to take as input not only the state (and action) but also an explicit policy representation. Such an extension enables PeVFA to preserve values of…

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