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AI in Wrestling: Bridging Human Motion and Robotics
This chapter explores the advancements in artificial intelligence and reinforcement learning, particularly through self-playing models like AlphaZero, while contrasting them with non-learning robotics such as Boston Dynamics. The discussion dives into the complexities of human movement in wrestling, highlighting the unique challenges of developing a grappling robot capable of adaptive decision-making in dynamic environments. Additionally, the chapter reflects on the evolution of wrestling techniques and the mental strategies inherent in the sport, emphasizing the difficulties of replicating human instincts in robotics.