Research
Mastering the Strategy Behind Stratego with DeepNash
Discover how game theory and deep reinforcement learning combine to create DeepNash, an AI player that has achieved expert status in Stratego by learning from scratch. Published in Science, DeepNash employs a unique approach that converges to a Nash equilibrium, making it a formidable opponent and a top-ranking player among human experts.
Unlike traditional board games like chess and Go, Stratego introduces a layer of complexity with imperfect information, challenging AI systems to excel. DeepNash’s success represents a milestone in AI development, offering insights into strategic decision-making in unpredictable environments.
Uncover how DeepNash’s innovative strategy surpasses traditional game tree search techniques, presenting new possibilities for AI performance in real-world scenarios with limited information.