A simple two-player environment for openai/gym
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gym-tic-tac-toe

An example of a custom environment for https://github.com/openai/gym.

I want to try out self-play in a Reinforcement Learning context. Rather than the board game environments on openai/gym right now, which are "single-player" by providing a built-in opponent, I want to create an agent that learns a strategy by playing against itself, so it will try to maximize the reward for "player 1" and minimize it for "player 2".

The canonical example of a simple two player game is Tic Tac Toe, also known as Noughts and Crosses.