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...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2011
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Online Access: | http://hdl.handle.net/1721.1/67496 https://orcid.org/0000-0002-8712-7092 |