Kohei Ozaki (smly)
Software Engineer
Google Developer Expert (Kaggle)
Game AI
RiichiEnv: Research Environment for Mahjong AI
A high-performance research environment for Riichi Mahjong AI development. The core game logic is implemented in Rust for fast state transitions and rollouts, with a Python Gym-style API designed for reinforcement learning. Features include compatibility with the Mortal bot via the MJAI protocol, flexible rule configuration (Tenhou/MJSoul presets, 3-player/4-player modes), and an integrated replay viewer for Jupyter Notebooks.
RiichiLab: Mahjong AI Competition Platform
An open arena for Riichi Mahjong AI where developers can pit their bots against each other
24/7 via WebSocket connections. Participants authenticate with GitHub OAuth, register a bot,
and connect using the provided API to play
full four-player games in real time. The game server is built on RiichiEnv's
Rust simulator. Bots receive serialized Observation objects over the WebSocket
and return Action responses, sharing the same interface as the local RiichiEnv
library for seamless development. The platform features an OpenSkill-based rating
system, detailed game logs with key-event shortcuts for analysis, and a replay viewer with
permalink support for debugging.