Approximating Behavioral Equivalence of Models Using Top-K Policy Paths: (Extended Abstract)

Yifeng Zeng, Yingke Chen, Doshi Prashant

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

7 Citationer (Scopus)

Resumé

Decision making and game play in multiagent settings must often
contend with behavioral models of other agents in order to predict
their actions. One approach that reduces the complexity of the unconstrained
model space is to group models that tend to be behaviorally
equivalent. In this paper, we seek to further compress the
model space by introducing an approximate measure of behavioral
equivalence and using it to group models.
OriginalsprogEngelsk
TidsskriftAutonomous Agents and Multi-Agent Systems
Vol/bind3
Sider (fra-til)1229-1330
Antal sider2
ISSN1387-2532
StatusUdgivet - 2011
BegivenhedThe 10th International Conference on Autonomous Agents and Multiagent Systems - Taipei, Taiwan
Varighed: 2 maj 20116 maj 2011
Konferencens nummer: 10th

Konference

KonferenceThe 10th International Conference on Autonomous Agents and Multiagent Systems
Nummer10th
LandTaiwan
ByTaipei
Periode02/05/201106/05/2011

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Decision making

Citer dette

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title = "Approximating Behavioral Equivalence of Models Using Top-K Policy Paths: (Extended Abstract)",
abstract = "Decision making and game play in multiagent settings must often contend with behavioral models of other agents in order to predict their actions. One approach that reduces the complexity of the unconstrained model space is to group models that tend to be behaviorally equivalent. In this paper, we seek to further compress the model space by introducing an approximate measure of behavioral equivalence and using it to group models.",
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Approximating Behavioral Equivalence of Models Using Top-K Policy Paths : (Extended Abstract). / Zeng, Yifeng; Chen, Yingke; Prashant, Doshi.

I: Autonomous Agents and Multi-Agent Systems, Bind 3, 2011, s. 1229-1330.

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

TY - ABST

T1 - Approximating Behavioral Equivalence of Models Using Top-K Policy Paths

T2 - (Extended Abstract)

AU - Zeng, Yifeng

AU - Chen, Yingke

AU - Prashant, Doshi

PY - 2011

Y1 - 2011

N2 - Decision making and game play in multiagent settings must often contend with behavioral models of other agents in order to predict their actions. One approach that reduces the complexity of the unconstrained model space is to group models that tend to be behaviorally equivalent. In this paper, we seek to further compress the model space by introducing an approximate measure of behavioral equivalence and using it to group models.

AB - Decision making and game play in multiagent settings must often contend with behavioral models of other agents in order to predict their actions. One approach that reduces the complexity of the unconstrained model space is to group models that tend to be behaviorally equivalent. In this paper, we seek to further compress the model space by introducing an approximate measure of behavioral equivalence and using it to group models.

M3 - Conference abstract in journal

VL - 3

SP - 1229

EP - 1330

JO - Autonomous Agents and Multi-Agent Systems

JF - Autonomous Agents and Multi-Agent Systems

SN - 1387-2532

ER -