Adversarial Policy Gradient for Alternating Markov Games
作者： Ryan Hayward , Chao Gao , Martin Mueller
DOI:
关键词:
摘要: Policy gradient reinforcement learning has been applied to two-player alternate-turn zero-sum games, eg, in AlphaGo, self-play REINFORCE was used to improve the neural net …
参考文章(0)