Deep Reinforcement Learning Under Signal Temporal Logic Constraints Using Lagrangian Relaxation
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DOI: 10.1109/access.2022.3218216
Abstract: Deep reinforcement learning (DRL) has attracted much attention as an approach to solve optimal control problems without mathematical models of systems. On the other hand, in general, constraints may be imposed on optimal control problems.… read more here.
Keywords: reinforcement learning; signal temporal; deep reinforcement; control ... See more keywords