Suphx: The World Best Mahjong AI - Microsoft Research
microsoft.com · 222 words · saved by 2 readers
Suphx: Mastering Mahjong with Deep Reinforcement Learning. Suphx has demonstrated stronger performance than most top human players in terms of stable rank.
Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI. In recent years, studies on game AI have gradually evolved from relatively simple environments (e.g., perfect-information games such as Go, chess, shogi or two-player imperfect-information games such as heads-up Texas hold’em) to more complex ones (e.g., multi-player imperfect-information games such as multi-player Texas hold’em and StartCraft II). Mahjong is a popular multi-player imperfect-information game worldwide but very challenging for AI…
saved by
related reading
- Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
- Illustrating Reinforcement Learning from Human Feedback (RLHF)huggingface.co
- DeepSeek-R1arxiv.org
- RLHF: Reinforcement Learning from Human Feedbackhuyenchip.com
- Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Playarxiv.org
- Deep Reinforcement Learning: Pong from Pixelskarpathy.github.io
- MAI-Thinking-1: Building a Hill-Climbing Machinemicrosoft.ai
- Dominion AI – Temple Gatestemplegatesgames.com
- What is AIXI?jan.leike.name
- The Path to Medical Superintelligence | Microsoft AImicrosoft.ai
- Deep Reinforcement Learning: Pong from Pixelskarpathy.github.io
- Faster sorting algorithms discovered using deep reinforcement learning | Naturenature.com