ICML-Learning and Planning in Complex Action Spaces

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Learning and Planning in Complex Action Spaces

     Thomas Hubert * 1 Julian Schrittwieser * 1 Ioannis Antonoglou 1 Mohammadamin Barekatain 1
                     Simon Schmitt 1 David Silver 1

             Abstract                real-world problems.
   Many important real-world problems have action      Recent advances in deep learning and RL have indeed led
   spaces that are high-dimensional, continuous or      to remarkable progress in model-free RL algorithms for
   both, making full enu ...

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关键词：planning Learning Complex earning Action