Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

international conference on learning representations, 2018.

Cited by: 27|Bibtex|Views85
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep reinforcement learning algorithms can learn complex behavioral skills, but real-world application of these methods requires a considerable amount of experience to be collected by the agent. In practical settings, such as robotics, this involves repeatedly attempting a task, resetting the environment between each attempt. However, not...More

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