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20202022
most citedPMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration

7 citations · 8 across the 3 of their papers we have counts for

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cs.LG2020★ 1 cited

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator

Hongyao Tang, Zhaopeng Meng, Jianye Hao +9

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…