Title:
Learning Multi-Modal Control Programs
Learning Multi-Modal Control Programs
| dc.contributor.author | Mehta, Tejas R. | |
| dc.contributor.author | Egerstedt, Magnus B. | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | |
| dc.date.accessioned | 2011-04-12T16:02:24Z | |
| dc.date.available | 2011-04-12T16:02:24Z | |
| dc.date.issued | 2005-03 | |
| dc.description | The original publication is available at www.springerlink.com. | en_US |
| dc.description.abstract | Multi-modal control is a commonly used design tool for breaking up complex control tasks into sequences of simpler tasks. In this paper, we show that by viewing the control space as a set of such tokenized instructions rather than as real-valued signals, reinforcement learning becomes applicable to continuous-time control systems. In fact, we show how a combination of state-space exploration and multi-modal control converts the original system into a finite state machine, on which Q-learning can be utilized. | en_US |
| dc.identifier.citation | T. Mehta and M. Egerstedt. Learning Multi-Modal Control Programs. Hybrid Systems: Computation and Control, Springer-Verlag, Zurich, Switzerland, March 2005. | en_US |
| dc.identifier.isbn | 978-3-540-25108-8 | |
| dc.identifier.uri | http://hdl.handle.net/1853/38480 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Springer-Verlag | |
| dc.subject | Multi-modal control | en_US |
| dc.subject | State-space exploration | en_US |
| dc.subject | Learning techniques | en_US |
| dc.title | Learning Multi-Modal Control Programs | en_US |
| dc.type | Text | |
| dc.type.genre | Book Chapter | |
| dspace.entity.type | Publication | |
| local.contributor.author | Egerstedt, Magnus B. | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
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