Reinforcement Learning for Mapping Instructions to Actions

Reinforcement Learning for Mapping Instructions to Actions

In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function that defines the quality of the executed actions. During training, the learner repeatedly constructs action sequences for a...

Full description

Bibliographic Details
Main Authors: Branavan, Satchuthanan R., Chen, Harr, Zettlemoyer, Luke S., Barzilay, Regina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computational Linguistics 2010
Subjects:
algorithms
design
experimentation
languages
measurement
performance
Online Access:http://hdl.handle.net/1721.1/59313
https://orcid.org/0000-0002-2921-8201

Internet

http://hdl.handle.net/1721.1/59313
https://orcid.org/0000-0002-2921-8201

Similar Items