Social interaction for efficient agent learning from human reward

Abstract - Learning from rewards generated by a human trainer observing an agent in action has been proven to be a powerful method for teaching autonomous agents to perform challenging tasks, especially for those non-technical users. Since the efficacy of this approach depends critically on the rewa...

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Bibliographic Details
Main Authors: Li, Guangliang (Author), Whiteson, Shimon (Author), Hung, Hayley (Author), Knox, Brad (Author)
Other Authors: Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Knox, William Bradley (Contributor)
Format: Article
Language:English
Published: Springer US, 2017-07-10T17:52:46Z.
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