IEEE - Institute of Electrical and Electronics Engineers, Inc. - Locally weighted least squares policy iteration for model-free learning in uncertain environments

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

Author(s): Matthew Howard ; Yoshihiko Nakamura
Sponsor(s): IEEE Ind. Electron. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2013
Conference Location: Tokyo, Japan
Conference Date: 3 November 2013
Page(s): 1,223 - 1,229
ISSN (Paper): 2153-0858
DOI: 10.1109/IROS.2013.6696506
Regular:

This paper introduces Locally Weighted Least Squares Policy Iteration for learning approximate optimal control in settings where models of the dynamics and cost function are either unavailable or... View More

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