@COMMENT This file was generated by bib2html.pl version 0.90
@COMMENT written by Patrick Riley
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@TechReport(psr-note04,
Author="Nicholas K.\ Jong and Peter Stone",
title="Towards Employing {PSR}s in a Continuous Domain",
Institution="The University of Texas at Austin, Department of Computer Sciences, AI Laboratory",
number="UT-AI-TR-04-309",
year="2004",month="February",
abstract={
Predictive State Representations (PSRs) recently
emerged as an alternative framework for reasoning
about stochastic environments. However, unlike
Markov decision processes, they have not yet been
extended to large domains or domains with continuous
state variables. This report briefly describes an
attempt to scale PSRs to such domains. Our goal was
to construct a PSR allowing an agent to track its
location on the simulated soccer field used in
Robocup. This line of work ended in a negative
result.
},
wwwnote={UT
Austin AI Lab technical reports},
)