Mahjax provides a GPU-accelerated JAX implementation of Riichi Mahjong achieving up to 2 million steps per second and enabling effective tabula rasa reinforcement learning.
Mastering the game of go without human knowledge,
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Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX
Mahjax provides a GPU-accelerated JAX implementation of Riichi Mahjong achieving up to 2 million steps per second and enabling effective tabula rasa reinforcement learning.