Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX
arXiv cs.AI·Soichiro Nishimori, Shinri Okano, Keigo Habara, Sotetsu Koyamada, Eason Yu, Masashi Sugiyama
15h agoQuick Take
Mahjax is a GPU-accelerated Mahjong simulator for reinforcement learning, implemented in JAX.
Key Points
- Supports large-scale rollout parallelization on GPUs.
- Achieves up to 2 million steps per second.
- Validates reinforcement learning effectiveness against baseline policies.
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