Genetic Programming as Policy Search in Markov Decision Processes

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InCollection{gearhart:2003:GPPSMDP,

• author = "Chris Gearhart",
• title = "Genetic Programming as Policy Search in Markov Decision Processes",
• booktitle = "Genetic Algorithms and Genetic Programming at Stanford 2003",
• year = "2003",
• editor = "John R. Koza",
• pages = "61--67",
• address = "Stanford, California, 94305-3079 USA",
• month = "4 " # dec,
• publisher = "Stanford Bookstore",
• keywords = "genetic algorithms, genetic programming, games, freecraft, ADF, lil-gp, Monte Carlo",
• URL = "http://www.genetic-programming.org/sp2003/Gearhart.pdf",
• size = "7 pages",
• abstract = "In this paper, we examine genetic programming as a policy search technique for planning problems representable as Markov Decision Processes. The planning task under consideration is derived from a real-time strategy war game. This problem presents unique challenges for standard genetic programming approaches; despite this, we show that genetic programming produces results competitive with standard techniques, albeit with certain trade-offs",
• notes = "part of \cite{koza:2003:gagp}",

}

Genetic Programming entries for Chris Gearhart

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