Construction of controllers for Shadow-Hand in Mujoco environment, using Deep Learning. 2 Different methods were used to create the controllers: a) Behavioral Cloning b) Deep Reinforcement Learning
deep-learning simulation tensorflow sign-language deep-reinforcement-learning neural-networks behavioral-cloning deepmind motor-controller ray mujoco proximal-policy-optimization ppo rllib shadow-hand 3d-manipulation hand-manipulation mujoco-menagerie
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Updated
Aug 15, 2023 - Python