NeuroEvolution of Augmenting Topologies Chess Engine

This project is training a value network for Monte Carlo Tree Search (MCTS) via the NeuroEvolution of Augmenting Topologies algorithm. Aside from the chess AI, a chess rules manager and a chess GUI have been implemented using Python. The following videos give an overview of the training process:

NEAT Training of Neuroevolutionary Chess Engine

NeuroEvolution of Best Genome