Topic: "reinforcement-learning-concepts"
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.
Language: Python - Size: 25.4 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
gayathrig269/CMPE260_Rfmt_Learning_TicTacToe
This project is about making a computer play TicTacToe games using Reinforcement Learning concepts
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
