A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

Warren B. POWELL; Jun MA

doi:10.1007/s11768-011-0313-y

🤖This page has been translated by AI and may contain inaccuracies. Please refer to the original content for clarification.

Home>Articles>A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

DOI: 10.1007/s11768-011-0313-y

A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

Warren B. POWELL

Jun MA

Keywords：Approximate dynamic programmingReinforcement learningOptimal controlApproximation algorithms

Publication Date：2011-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：17( 336-352 )

Journal of Control Theory and Applications

ISSN：1672-6340

Year, Vol.(Issue)：2011,(3)