An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion
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Deep reinforcement learning (DRL) exhibits a promising approach for controlling humanoid robot locomotion. However, only values relating sensors such as IMU, gyroscope, and GPS are not sufficient robots to learn their locomotion skills. In this article, w
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