Research on deep reinforcement learning basketball robot shooting skills improvement based on end to end architecture and multi-modal perception
Jun Zhang,
Dayong Tao
Abstract:IntroductionIn the realm of basketball, refining shooting skills and decision-making levels using intelligent agents has garnered significant interest. This study addresses the challenge by introducing an innovative framework that combines multi-modal perception and deep reinforcement learning. The goal is to create basketball robots capable of executing precise shots and informed choices by effectively integrating sensory inputs and learned strategies.MethodsThe proposed approach consists of three main compon… Show more
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