263 citations · 737 across the 28 of their papers we have counts for
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3 papers · 1 filter
cs.MA2019★ 6 cited
A Regularized Opponent Model with Maximum Entropy Objective
Zheng Tian, Ying Wen, Zhichen Gong +3
In a single-agent setting, reinforcement learning (RL) tasks can be cast into an inference problem by introducing a binary random variable o, which stands for the "optimality". In…
cs.LG2019★ 50 cited
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Ying Wen, Yaodong Yang, Rui Luo +2
Humans are capable of attributing latent mental contents such as beliefs or intentions to others. The social skill is critical in daily life for reasoning about the potential conse…
cs.AI2019★ 5 cited
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen, Yaodong Yang, Rui Luo +1
Though limited in real-world decision making, most multi-agent reinforcement learning (MARL) models assume perfectly rational agents -- a property hardly met due to individual's co…