Dynamic Programming and Optimal Control 3rd Edition, Volume II
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چکیده
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. In addition to editorial revisions, rearrangements, and new exercises, the chapter includes an account of new research, which is collected mostly in Sections 6.3 and 6.8. Furthermore, a lot of new material has been added, such as an account of post-decision state simplifications (Section 6.1), regression-based TD methods (Section 6.3), exploration schemes and optimistic policy iteration (Section 6.3), convergence analysis of Q-learning (Section 6.4), aggregation methods (Section 6.5), and Monte Carlo linear algebra (Section 6.8). This chapter represents “work in progress.” It more than likely contains errors (hopefully not serious ones). Furthermore, its references to the literature are incomplete. Your comments and suggestions to the author at [email protected] are welcome. When quoting, please refer to the date of last revision given below.
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تاریخ انتشار 2004