B-Learning: A Reinforcement Learning Variant for the Control of a Plant
Source abstract
Abstract
This paper presents a new reinforcement learning scheme called B-Learning. This approach leads to an estimate of the expected benefits provided by each action with respect to the current policy. This algorithm performs a one-step ahead exhaustive search in the action space and allows the introduction of additional constraints. The method is successfully applied to the control of a water production plant.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Control Systems Optimization · Reinforcement Learning in Robotics · Extremum Seeking Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
INESC, rua Alves Redol, 9 Apartado 10105 1017 Lisboa Codex, Portugal
Université de Technologie de Compiegne U. R. A. 817 du CNRS BP649 F-60206 Compiègne Cedex, France
References (16)
Show source-provided references
1. 10.1109/37.2480910.1109/37.24809 ↗
2. Barto, A.G., S.J. Bradtke and S.P. Singh. 1991. "Real-Time Learning and Control Using Asynchronous Dynamic Programming", Technical Report 91-57, Amherst, MA. University of Massachusetts, Dept of Computer Science.
3. 10.1109/TSMC.1983.631307710.1109/TSMC.1983.6313077 ↗
4. Hoskins, J.C. · Chicago Meeting of American Institute of Chemical Engineers · 1990
5. Jordan, M.I. and R.A. Jacobs. 1990. "Learning to Control an Unstable System with Forward Modeling", R. P. Lippmamn, J E Moody and D. S Touretzky, eds. Advances in Neural Information Processing Systems 2, Morgan Kaufmann, pp. 324-331.
6. Jouse, W.E. and J.G. Williams. 1991. "The Control of Nuclear Reactor Start-Up Using Drive Reinforcement Theory", C. H. Dagli, S R. T. Kumara and Y. C. Shin, eds. Intelligent Engineering Systems Through Artificial Neural Networks, St. Louis, MO, p. 537-544
7. Kora, R. · 1992
8. Langlois, T. · 1992
9. Langlois, T. · 1992
10. Lm, L.-J. · Ninth National Conference on Artificial Intelligence · 1991 · 781
11. Lin, L.J. · Machine Learning · 1992 · 8 · 923
12. Seube, N. · 1992
13. 10.1007/BF0011500910.1007/BF00115009 ↗
14. Sutton, R.S. 1990 "Integrated Modeling Control Based on Reinforcement Learning and Dynamic Programming", in Advances in Neural Information Processing Systems, vol. 3, R. P. Lippman, J E. Moody and D. S. Touretzky, eds. Morgan Kaufmann. pp. 471-478.
15. Watkins, C.J.C.H. 1989. Learmng with Delayed Rewards. Ph. D. thesis, Cambridge University Psychology Department.
16. Werbos, P.J. 1990. "Consistency of HDP Applied to a Simple Reinforcement Learning Problem", Neural Networks, 3:179-189.10.1016/0893-6080(90)90088-3 ↗