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» Prob-Maxn: Playing N-Player Games with Opponent Models
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AIIDE
2009
13 years 5 months ago
Improving Offensive Performance Through Opponent Modeling
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...
ISIPTA
2003
IEEE
125views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
Game-Theoretic Learning Using the Imprecise Dirichlet Model
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
Erik Quaeghebeur, Gert de Cooman
SIGECOM
2006
ACM
139views ECommerce» more  SIGECOM 2006»
13 years 10 months ago
Playing games in many possible worlds
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...
Matt Lepinski, David Liben-Nowell, Seth Gilbert, A...
CIG
2006
IEEE
13 years 10 months ago
Capturing The Information Conveyed By Opponents' Betting Behavior in Poker
— This paper develops an approach to the capture and measurement of the information contained in opponents’ bet actions in seven card stud poker. We develop a causal model link...
Eric Saund
AAAI
2006
13 years 6 months ago
Know Thine Enemy: A Champion RoboCup Coach Agent
In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
Gregory Kuhlmann, William B. Knox, Peter Stone