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by jonath_laurent
1863 days ago
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As a researcher in machine learning, I wanted to explore applications of Deepmind’s AlphaZero algorithm beyond board games (such as in automated theorem proving or chemical synthesis). However, I noticed that existing open-source implementations of AlphaZero mostly consisted in complex C++ codebases that are highly specialized for specific games (eg. Leela Zero and LC0). Accessible Python implementations could be found but they were usually too slow to do anything useful on limited computing power. Seeing this, I built AlphaZero.jl: https://github.com/jonathan-laurent/AlphaZero.jl AlphaZero.jl is written in Julia and it is consistently one to two orders of magnitude faster than competing Python alternatives, while being equally simple and flexible. I just released a new version a few days ago with many new features (support for distributed computing, support for arbitrary MDPs...). If you are a student, a researcher or a hacker curious about AlphaZero, please consider having a look! |
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