Transcription of Dynamic Programming and Optimal Control 3rd Edition, …
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Dynamic Programming and Optimal Control3rd Edition, Volume IIbyDimitri P. BertsekasMassachusetts institute of TechnologyChapter 6 Approximate Dynamic ProgrammingThis is an updated version of the research-oriented Chapter6 onApproximate Dynamic Programming . It will be periodically updated asnew research becomes available, and will replace the current Chapter 6 inthe book s next addition to editorial revisions, rearrangements, and new exercises,the chapter includes an account of new research, which is collected mostlyin Sections and Furthermore, a lot of new material has beenadded, such as an account of post-decision state simplifications ( ), regression-based TD methods (Section ), feature scaling ( ), policy oscillations (Section ), -policy iteration and explorationenhanced TD methods, aggregation methods (Section ), new Q-learningalgorithms (Section ), and Monte Carlo linear algebra (Section ).
Dimitri P. Bertsekas Massachusetts Institute of Technology Chapter 6 Approximate Dynamic Programming This is an updated version of the research-oriented Chapter 6 on Approximate Dynamic Programming. It will be periodically updated as new research becomes available, and will replace the current Chapter 6 in the book’s next printing.
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