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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913001
Abstract: A high required number of interactions with the environment is one of the most important problems in reinforcement learning (RL). To deal with this problem, several data-efficient RL algorithms have been proposed and successfully applied…
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Keywords:
optimistic sampling;
reinforcement learning;
optimal sampling;
strategy ... See more keywords