[jonath_laurent]

This needs clarification indeed. As I explain in the documentation, the aim of AlphaZero.jl is not to compete with hyper-specialized and hyper-optimized implementations such as LC0 or ELF OpenGO. These implementations are written in C++ with custom CUDA kernels and they are optimized for highly distributed computing environments. They are also very complex and therefore pretty inaccessible to students and researchers.

The philosophy of AlphaZero.jl is to provide an implementation of AlphaZero that is simple enough to be widely accessible for students and researchers, while also being sufficiently powerful and fast to enable meaningful experiments on limited computing resources. It has the simplicity of the many existing python implementations, while being consistently between one and two orders of magnitude faster.

More generally, the AlphaZero algorithm is extremely general and I think it can find applications in many research domains (including automated theorem proving, which is my own research area). I have been surprised to see that, despite the general excitement around AlphaZero, very few people actually tried to build on it. One explanation, I think, is the lack of accessible open-source implementations. I am trying to bridge this gap with AlphaZero.jl.

[O_H_E]

Always great to see someone who finds something broken, and fixes it for others to move forward.

Thank you.