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Documents Associated With Scientific Events Year : 2014

Optimization of Energy Policies Using Direct Value Search

Abstract

Direct Policy Search is a widely used tool for reinforcement learning; however, it is usually not suitable for handling high-dimensional constrained action spaces such as those arising in power system control (unit commitmen problems). We propose Direct Value Search, an hybridization of DPS with Bellman decomposition techniques. We prove runtime properties, and apply the results to an energy management problem.
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Dates and versions

hal-00997562 , version 1 (04-06-2014)

Identifiers

  • HAL Id : hal-00997562 , version 1

Cite

Jérémie Decock, Jean-Joseph Christophe, Olivier Teytaud. Optimization of Energy Policies Using Direct Value Search. 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgium. 2014. ⟨hal-00997562⟩
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