A Regularized Opponent Model with Maximum Entropy Objective

1 code implementation • 17 May 2019 • Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

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".

Multi-agent Reinforcement Learning reinforcement-learning +1