Search Results for author: Ethan Holly

Found 2 papers, 1 papers with code

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

no code implementations3 Oct 2016 Shixiang Gu, Ethan Holly, Timothy Lillicrap, Sergey Levine

In this paper, we demonstrate that a recent deep reinforcement learning algorithm based on off-policy training of deep Q-functions can scale to complex 3D manipulation tasks and can learn deep neural network policies efficiently enough to train on real physical robots.

reinforcement-learning Reinforcement Learning (RL)

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