most citedA Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning

6 citations · 9 across the 2 of their papers we have counts for

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cs.LG2020★ 3 cited

Cross-Domain Imitation Learning with a Dual Structure

Sungho Choi, Seungyul Han, Woojun Kim +1

In this paper, we consider cross-domain imitation learning (CDIL) in which an agent in a target domain learns a policy to perform well in the target domain by observing expert demo…