Replica of the game 2048 with an AI based on AlphaZero.
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Updated
Jul 28, 2024 - C++
Replica of the game 2048 with an AI based on AlphaZero.
This repository inclues the Samurai framework and all the implemented base engines.
A MCTS game agent for reversed reversi. Guided by SUSTech CS311 Artificial Intelligence(H)
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Monte Carlo tree search in JAX
Made for an IA class regarding search problems applied to games
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Schokoban is a MCTS based solver for Sokoban.
Basic multi-agent Monte Carlo Tree Search implementation
MiniZero: An AlphaZero and MuZero Training Framework
Tic-Tac-Toe engine implemented with Monte Carlo tree search.
GameAI with C++
Tic-tac-toe variant squava, with various methods of computer play
PGX - MCTX - JAX ConnectFour example converted to use a browser interface instead of a Jupyter notebook
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
Connect Four [Artificial Intelligence Project]
A programming language for implementing turn-based games with complex rule sets. (with built in Monte Carlo Tree Search AI!)
This repository contains an implementation of checkers where different agents play against each other using different algorithms including Monte Carlo Tree Search, Alpha-Beta Pruning, and Minimax.
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