# Ataraxos

Researchers from MIT, Carnegie Mellon University, New York University, and Stanford University developed an AI system called Ataraxos that combines a self-play reinforcement learning "blueprint strategy" with decision-time planning using a generative model, defeating the strongest human Stratego player by a record 15-1-4 margin and achieving a 39-2 record against top players at the Stratego world championship, while using less than one hundredth of DeepMind's DeepNash training examples and less than one thirtieth of its self-play games, and generalizing to other imperfect-information games such as Barrage Stratego, Hanabi, and Dou dizhu.

Researchers from MIT, Carnegie Mellon University, New York University, and Stanford University developed an AI system called Ataraxos that combines a self-play reinforcement learning "blueprint strategy" with decision-time planning using a generative model, defeating the strongest human Stratego player by a record 15-1-4 margin and achieving a 39-2 record against top players at the Stratego world championship, while using less than one hundredth of DeepMind's DeepNash training examples and less than one thirtieth of its self-play games, and generalizing to other imperfect-information games such as Barrage Stratego, Hanabi, and Dou dizhu.