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Patrick Riley and Manuela Veloso. Advice Generation from Observed Execution: Abstract Markov Decision Process Learning. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI-2004), San Jose, July 2004.
An advising agent, a coach, provides advice to other agents about how to act. In this paper we contribute an advice generation method using observations of agents acting in an environment. Given an abstract state definition and partially specified abstract actions, the algorithm extracts a Markov Chain, infers a Markov Decision Process, and then solves the MDP (given an arbitrary reward signal) to generate advice. We evaluate our work in a simulated robot soccer environment and experimental results show improved agent performance when using the advice generated from the MDP for both a sub-task and the full soccer game.
@InProceedings{AAAI04-abstract-MDP,
author = {Patrick Riley and Manuela Veloso},
title = {Advice Generation from Observed Execution: Abstract
{M}arkov Decision Process Learning},
year = 2004,
booktitle = aaai2004,
abstract = { An advising agent, a coach, provides advice to
other agents about how to act. In this paper we
contribute an advice generation method using
observations of agents acting in an
environment. Given an abstract state definition and
partially specified abstract actions, the algorithm
extracts a Markov Chain, infers a Markov Decision
Process, and then solves the MDP (given an arbitrary
reward signal) to generate advice. We evaluate our
work in a simulated robot soccer environment and
experimental results show improved agent performance
when using the advice generated from the MDP for
both a sub-task and the full soccer game. },
bib2html_pubtype ={Refereed Conference},
bib2html_rescat ={Coaching,Opponent and Teammate Modeling},
bib2html_funding ={ActiveTemplates,RADAR},
bib2html_extra_info={<a href="http://www.cs.cmu.edu/~pfr/appedices/2004aaai.html">Online Appendix</a>}
}
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