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Ep#3: Sim-to-Real RL forVision-Based Dexterous Manipulation on Humanoids

RoboPapers

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Innovative Reward Design for Object Manipulation in RL

This chapter delves into a new method for designing rewards in reinforcement learning, focusing on object manipulation tasks. It highlights the importance of differentiating between contact goals and object goals, while also addressing the complexities involved with deformable objects and the need for effective control policies.

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