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Ethan Holly

2 accepted papers

2018

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

CoRL 2018

In this paper, we study the problem of learning vision-based dynamic manipulation skills using a scalable reinforcement learning approach. We study this problem in the context of grasping, a longstanding challenge in robotic manipulation. In contrast to static learning behaviors that choose a grasp

Cited by 0SourcePDFScholar
2017

Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

ICRA 2017poster

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 t…

Cited by 2093SourceScholar