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Zinovi Rabinovich, Jeffrey S. Rosenschein,
and Gal A. Kaminka. Dynamics Based Control with an Application to Area-Sweeping
Problems. In Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS-07), 2007.
In this paper we introduce Dynamics Based Control (DBC), an approach to planning and control of an agent in stochastic environments. Unlike existing approaches, which seek to optimize expected rewards (e.g., in Partially Observable Markov Decision Problems (POMDPs)), DBC optimizes system behavior towards specified system dynamics. We show that a recently developed planning and control approach, Extended Markov Tracking (EMT) is an instantiation of DBC. EMT employs greedy action selection to provide an efficient control algorithm in Markovian environments. We exploit this efficiency in a set of experiments that applied multi-target EMT to a class of area-sweeping problems (searching for moving targets). We show that such problems can be naturally defined and efficiently solved using the DBC framework, and its EMT instantiation.
@InProceedings{aamas07zinovi,
author = {Zinovi Rabinovich and Jeffrey S. Rosenschein and Gal A. Kaminka},
title = {Dynamics Based Control with an Application to Area-Sweeping Problems},
OPTcrossref = {},
OPTkey = {},
booktitle = AAMAS-07,
OPTpages = {In press},
year = {2007},
abstract = {
In this paper we introduce Dynamics Based Control (DBC), an approach to planning and
control of an agent in stochastic environments. Unlike existing approaches, which
seek to optimize expected rewards (e.g., in Partially Observable Markov Decision
Problems (POMDPs)), DBC optimizes system behavior towards specified system dynamics.
We show that a recently developed planning and control approach, Extended
Markov Tracking (EMT) is an instantiation of DBC. EMT employs greedy action
selection to provide an efficient control algorithm in Markovian environments. We
exploit this efficiency in a set of experiments that applied multi-target EMT to a
class of area-sweeping problems (searching for moving targets). We show that such
problems can be naturally defined and efficiently solved using the DBC framework, and
its EMT instantiation.
},
wwwnote = {},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
OPTaddress = {},
OPTmonth = {},
OPTorganization = {},
OPTpublisher = {},
OPTannote = {}
}
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