I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game.
At the core I’m using an AlphaZero / Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as well as predicting the level of the opponents play.
I want to develop this into kind of an AI coach that you can spar certain positions against and get feedback suited for your level. Happy for any suggestions!
But what's even more impressive is that the game felt great to play, I didn't get this feeling that the AI would pick on every of my smallest mistakes like you have with Stockfish. I know there has been several research work [0,1] recently to improve the human-ness of chess AIs, but it's even more impressive that you are able to do it "online", in the course of a single game, bravo. I'd be interested in a blog post with details on the underlying algorithm
[0] https://arxiv.org/abs/2006.01855
[1] https://openreview.net/forum?id=fJY2iCssvIs