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A Comparison of Policy Iteration Methods for Solving Continuous-State, Infinite-Horizon Markovian Decision Problems Using Random, Quasi-random, and Deterministic Discretizations

Paper:ewp-comp/9704001
From: John Rust <   > 
Date: Mon, 21 Apr 1997 22:09:06 GMT

Abstract:
Abstract: This paper compares the performance of the Howard (1960) policy iteration algorithm for infinite-horizon continuous-state Markovian decision processes (MDP's) using alternative random, quasi- random, and deterministic discretizations of the state space, or grids. Each grid corresponds to an embedded finite state MDP whose solution is used to approximate the solution to the original continuous-state Markovian decision process. I extend a result of Rust (1997), to show that policy iteration using random grids succeeds in breaking the curse of dimensionality involved in approximating the solution to a class of continuous-state discrete-action MDP's known as discrete decision processes (DDP's). I compare this ``random policy iteration algorithm'' (RPI) with policy iteration algorithms using deterministically chosen grids including uniform grids and quadrature grids both of which are subject to the curse of dimensionality. I also compare the RPI algorithm to deterministic policy iteration algorithms based on quasi-random or `low discrepancy grids' such as the Sobol' and Tezuka sequences.

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EconWPA began as a conversation between Bob Parks and Larry Blume on January 28, 1993. I located Paul Ginsparg's archive (then xxx.lanl.gov) and he graciously installed his software on a Sun Sparc system which was supporting the department of economics email and computation. EconWPA began accepting papers July 1, 1993 and had ftp, email, gopher and web interfaces. The web interface for submissions was engineered into existence in July 1995. A complete and catastrophic machine failure in 1999 caused the loss of EconWPA's email new paper announcment service at which time there were over 15,000 subscriptions with over 8,000 unique email addresses.

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A Chinese curse states May you live in intersting times. I have. Bob Parks - Jan 2006