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

Reinforcement learning holds the promise of enabling autonomous robots to learn large repertoires of behavioral skills with minimal human intervention. However, robotic applications of reinforcement learning often compromise the autonomy of the learning process in favor of achieving training times that are practical for real physical systems... (read more)

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