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Robot Learning With Crash Constraints

IEEE ROBOTICS AND AUTOMATION LETTERS, no. 2 (2021): 1439-1446

Cited: 0|Views42
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Abstract

In the past decade, numerous machine learning algorithms have been shown to successfully learn optimal policies to control real robotic systems. However, it is common to encounter failing behaviors as the learning loop progresses. Specifically, in robot applications where failing is undesired but not catastrophic, many algorithms struggle...More

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