Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

6 code implementations • 3 Mar 2016 • Johannes Heinrich, David Silver

When applied to Leduc poker, Neural Fictitious Self-Play (NFSP) approached a Nash equilibrium, whereas common reinforcement learning methods diverged.

Game of Poker reinforcement-learning +1