Deep Reinforcement Learning (DRL) for robotic grasping has been actively studied in recent years. Each DRL needs a reward function to interact with its environment and figure out how desirable or suitable the actions it takes in each state are. The reward formulation of DRL is usually a linear summation of the reward components, which […]
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