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…