Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Robotics: Science and Systems, 2018.
Dexterous multi-fingered hands are extremely versatile and provide a generic way to perform multiple tasks in human-centric environments. However, effectively controlling them remains challenging due to their high dimensionality and large number of potential contacts. Deep reinforcement learning (DRL) provides a model-agnostic approach to...More
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