Feedback controller parameterizations for reinforcement learning

Reinforcement Learning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback controllers for weakly stable systems, ineffective parameterizations can result in unstable controllers an...

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Bibliographic Details
Main Authors: Roberts, John William, Manchester, Ian R., Tedrake, Russell Louis
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2011
Online Access:http://hdl.handle.net/1721.1/67496
https://orcid.org/0000-0002-8712-7092