Abstract #300548

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JSM 2003 Abstract #300548
Activity Number: 108
Type: Invited
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #300548
Title: Value Function Approximation in Dynamic Programming: History and Recent Developments
Author(s): Benjamin Van Roy*+
Companies: Stanford University
Address: Terman 427, Mgt. Science & Engineering, Stanford, CA, 94305-4023,
Keywords: multistage decisions ; reinforcement learning
Abstract:

Dynamic programming value function approximation has been a subject of discussion in the operations research literature since the 1950s. However, progress in this area has accelerated significantly over the past two decades, fueled to a large extent by activity in artificial intelligence. We will review work on value function approximation, including recent developments involving a linear programming formulation. The talk will touch on applications in backgammon, queueing, and Tetris.


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Revised March 2003