minichess

Implementation of the Double Deep Q-Learning algorithm with a prioritized experience replay memory to train an agent to play the minichess variante Gardner Chess

Meta-learning experiments for the game of minichess and related rule variants.

An AI for Minichess (6x5 board) using Minimax with alpha-beta pruning, custom evaluation functions, and a user interface for interactive gameplay. Version-controlled for collaboration. CSE604- Airtificial Intelligence Course Assignment

MiniChessAI || CSE 604 - Artificial Intelligence course project

國立清華大學 114學年下學期 計算機程式設計二 Mini Project 2 a.k.a Final Project [Mini Chess AI] by 陳孜博 1140262161

An AI for Minichess (6x5 board) using Minimax with alpha-beta pruning, custom evaluation functions, and a user interface for interactive gameplay. Version-controlled for collaboration.