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Home > NLP Highlights > 75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III
Podcast: NLP Highlights
Episode:

75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III
Category: Science & Medicine
Duration: 00:43:54
Publish Date: 2018-11-21 17:53:58
Description: In this episode, we invite Hal Daumé to continue the discussion on reinforcement learning, focusing on how it has been used in NLP. We discuss how to reduce NLP problems into the reinforcement learning framework, and circumstances where it may or may not be useful. We discuss imitation learning, roll-in and roll-out, and how to approximate an expert with a reference policy. DAgger: https://www.semanticscholar.org/paper/A-Reduction-of-Imitation-Learning-and-Structured-to-Ross-Gordon/17eddf33b513ae1134abadab728bdbf6abab2a05?navId=citing-papers RESLOPE: http://legacydirs.umiacs.umd.edu/~hal/docs/daume18reslope.pdf
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