PostFighting for #1 in the Ultimate Tic-Tac-Toe Arena

Fighting for #1 in the Ultimate Tic-Tac-Toe Arena Tom Alard details how he built a highly competitive Ultimate Tic-Tac-Toe bot using a neural network trained on over 300 million self-play positions, a custom search algorithm, and SIMD-optimized C code. He also explains how he compressed the engine and neural network into a Python submission using UTF-16 encoding to bypass CodinGame’s 100,000-character limit, reaching second place on the... https://tomalard.github.io/posts/fighting-for-1-in-the-ultimate-tic-tac-toe-arena/