tictactoe: Game states of 100,000 randomly sampled Tic-Tac-Toe games.
In nproellochs/ReinforcementLearning: Model-Free Reinforcement Learning

Description Usage Format

A dataset containing 406,541 game states of Tic-Tac-Toe. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row wins the game. All states are observed from the perspective of player X, who is also assumed to have played first.

tictactoe

A data frame with 406,541 rows and 4 variables:

State: The current game state, i.e. the state of the 3x3 grid.
Action: The move of player X in the current game state.
NextState: The next observed state after action selection of players X and B.
Reward: Indicates terminal and non-terminal game states. Reward is +1 for 'win', 0 for 'draw', and -1 for 'loss'.