Learning to Follow Language Instructions with Adversarial Reward Induction

arXiv: Artificial Intelligence, Volume abs/1806.01946, 2018.

Cited by: 3|Bibtex|Views161
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Recent work has shown that deep reinforcement-learning agents can learn to follow language-like instructions from infrequent environment rewards. However, for many real-world natural language commands that involve a degree of underspecification or ambiguity, such as tidy the room, it would be challenging or impossible to program an approp...More

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