Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control

28 Oct 2019Jörg K. H. FrankeGregor KöhlerNoor AwadFrank Hutter

Current Deep Reinforcement Learning algorithms still heavily rely on handcrafted neural network architectures. We propose a novel approach to automatically find strong topologies for continuous control tasks while only adding a minor overhead in terms of interactions in the environment... (read more)

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