AlphaZero.jl and alphazero-general
About AlphaZero.jl
jonathan-laurent/AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
This tool helps researchers, students, and 'hackers' explore and apply advanced AI game-playing techniques. You input a game's rules and structure, and it trains an AI agent through self-play, producing a highly skilled AI for that game, capable of reaching superhuman performance in complex environments like Chess or Go. It's designed for those who want to understand and experiment with AI decision-making.
About alphazero-general
kevaday/alphazero-general
A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
This project offers a fast, adaptable platform for developing AI agents to master complex board games and strategic challenges. It takes game rules and parameters as input, then outputs a highly performant AI agent capable of playing and winning against human or other AI opponents. This is for AI researchers, game developers, or enthusiasts interested in creating advanced game-playing AIs without building an AlphaZero implementation from scratch.
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