29 citations · 54 across the 14 of their papers we have counts for
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cs.AI2019★ 1 cited
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang +5
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…
cs.LG2019★ 3 cited
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach
Pei Yingjun, Hou Xinwen
The information bottleneck principle is an elegant and useful approach to representation learning. In this paper, we investigate the problem of representation learning in the conte…