oliveirarleo / alphaquoridor

Alpha Zero Quoridor

An AI for quoridor based on Alpha Zero. Please check out the architecture behind the algorithm here.

A concise description of our algorithm can be found here.

Contributing

While the current code is fairly functional, we could benefit from the following contributions:

• Asynchronous MCTS as described in the paper
• An asynchronous version of the code- parallel processes for self-play, neural net training and model comparison.
• Game logic files for more games that follow the specifications in Game.py, along with their neural networks
• Neural networks in other frameworks
• Pre-trained models for different game configurations

Contributors and Credits

• Leonardo_Ramos Author of this implementation of quoridor AI.
• Shantanu Thakoor and Megha Jhunjhunwala helped with core design and implementation.