Learning to Understand Goal Specifications by Modelling Reward

arXiv: Artificial Intelligence, 2018.

Cited by: 9|Bibtex|Views178
Other Links: 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, this places on environment designers the onus of designing language-conditional reward functions which may not be easily or tractably implemented as the complexity of the environment an...More

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