2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
policies during the training procedure. This non-stationarity stems from breaking the Markov assumption that governs most Recent developments in deep reinforcement learning single-agent RL algorithms. Since the transitions and rewards are concerned with creating decision-making a...