Tag : Nonprehensile

AI/ML

Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. (arXiv:1810.10654v1 [cs.RO])

Newsemia
This paper proposes a sample-efficient yet simple approach to learning closed-loop policies for nonprehensile manipulation. Although reinforcement learning (RL) can learn closed-loop policies without requiring...

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