Learning From Demonstrations Using Signal Temporal Logic in Stochastic and Continuous Domains
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DOI: 10.1109/lra.2021.3092676
Abstract: Learning control policies that are safe, robust and interpretable are prominent challenges in developing robotic systems. Learning-from-demonstrations with formal logic is an arising paradigm in reinforcement learning to estimate rewards and extract robot control policies… read more here.
Keywords: demonstrations using; logic stochastic; learning demonstrations; signal temporal ... See more keywords