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
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Updated
Apr 2, 2024 - Python
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.
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