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reinforcement-learning-concepts

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proutkarsh3104 / Chess-AI-Utkarsh

This project implements a neural network-based chess AI using TensorFlow and Keras. The model uses convolutional layers and residual blocks to predict the best chess moves and evaluate board states. It combines policy and value predictions to create a robust chess-playing AI, inspired by AlphaZero's architecture.

python deep-learning tensorflow neural-networks residual-networks chess-ai mixed-precision-training data-generators reinforcement-learning-concepts fen-parsing board-representation-in-machine-learning

Updated Nov 20, 2024
Python

gayathrig269 / CMPE260_Rfmt_Learning_TicTacToe

This project is about making a computer play TicTacToe games using Reinforcement Learning concepts

neural-network game-board random-player reinforcement-learning-concepts

Updated Dec 13, 2020
Jupyter Notebook

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