datasets for computer go
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Updated
Jun 12, 2024 - C++
datasets for computer go
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A work-in-progress World of Warcraft Reinforcement Learning tool capable of finding optimal control policies for mythic+ speedruns.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
♟️ Vectorized RL game environments in JAX
Teach a computer to play any game.
AlphaZero based engine for the game of Go (圍棋/围棋).
MiniZero: An AlphaZero and MuZero Training Framework
Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
Book repository for AlphaGo Simplified (CRC Press 2024). Implement ideas behind Deep Blue (rule-based AI) and AlphaGo (rule-based AI + Deep Learning) in three simple games: Last Coin Standing, Tic Tac Toe, and Connect Four.
A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
Research project: create a chess engine using Deep Reinforcement Learning
From scratch implementations of Google Deep Minds algorithm, AlphaZero, trained to play the games of Go and Ataxx.
A C++ pytorch implementation of MuZero
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Implementation of AlphaZero, a deep reinforcement learning algorithm, on games like TicTacToe and Connect Four
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