WIT Press


A Reinforcement Learning Model For The Operation Of Conjunctive Use Schemes

Price

Free (open access)

Volume

26

Pages

11

Published

1998

Size

1,114 kb

Paper DOI

10.2495/HY980301

Copyright

WIT Press

Author(s)

F.J.C. Bouchart & H. Chkam

Abstract

A Reinforcement Learning (RL) model is proposed to identify operational strategies for conjunctive use schemes. This model is based on neuron-like adaptive elements that learn on-line to avoid system failures. The strength of this approach is that the resulting operational strategy for the water supply scheme reflects the need to respond and adapt to discrete failure events. A second advantage of the RL methodology is the inherent ability of control elements to operate in a distributed manner. By responding to local state inputs combined with a combination of local and global performance signals, the individual control elements are capable of operating effectively with only a limited set of state variables. The implication

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