An immediate-return reinforcement learning for the atypical Markov decision processes
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DOI: 10.3389/fnbot.2022.1012427
Abstract: The atypical Markov decision processes (MDPs) are decision-making for maximizing the immediate returns in only one state transition. Many complex dynamic problems can be regarded as the atypical MDPs, e.g., football trajectory control, approximations of… read more here.
Keywords: decision processes; reinforcement learning; markov decision; atypical mdps ... See more keywords