A Survey of Meta-Reinforcement Learning

While deep reinforcement learning (RL) has fueled multiple high-profile successes in machine learning, it is held back from more widespread adoption by its often poor data efficiency and the limited generality of the policies it produces. A promising approach for alleviating these limitations is to...

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Bibliographische Detailangaben
Hauptverfasser: Beck, Jacob, Vuorio, Risto, Liu, Evan Zheran, Xiong, Zheng, Zintgraf, Luisa, Finn, Chelsea, Whiteson, Shimon
Format: Artikel
Sprache:eng
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