/Reinforcement-Learning-for-Nim-Game

The Nim game is a mathematical strategy game in which two players take turns removing sticks from distinct heaps. The player who removes the last stick loses. As a game in which states are fully observable and with much reduced state and action spaces compared to chess, it is the perfect game to code a Q-Learning RL agent from scratch.

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