Simulator and Agents for the game of Mancala. Mancala is a 2-player, turn-based strategy board game based on small stones on a board. The objective is to capture more stones than your opponent.
This project implements the game logic, multiple interfaces, and a variety of AI bots.
Players can choose any hole located on their side of the board. Stones are then dropped into following cells, however skipping the opponent's score cell. Game ends when a player scores 25 or more points.
If the last stone dropped lands in the score cell, the player moves again.
If the last stone ends in an empty cell on the current player's side, if there are any stones in the adjacent cell on the opponent's side, these stones are captured for the current player.
| Agent | Description |
|---|---|
| Random | From valid moves, selects randomly |
| Max | Maximize score increase for that turn |
| Exact | Maximizes repeating turns |
| MinMax | Implements Min/Max tree exploration with alpha/beta tuning |
| A3C | Implements an Actor-Critic Reinforcement Learner |
Run with python server.py or make serve and browse to http://127.0.0.1:5000/ to play Mancala.
Play in the terminal with python play.py or make play
Run the unittest tests with python -m unittest discover or make test. Tests are also run on Travis CI 