Multi-Agent Deep Reinforcement Learning with Adaptive Policies

Yixiang Wang, Feng Wu

We propose a novel approach to address one aspect of the non-stationarity problem in multi-agent reinforcement learning (RL), where the other agents may alter their policies due to…