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ACMACE
2006
ACM
16 years 2 days ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
153
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AAMAS
2007
Springer
15 years 6 months ago
Reaching pareto-optimality in prisoner's dilemma using conditional joint action learning
We consider a repeated Prisoner’s Dilemma game where two independent learning agents play against each other. We assume that the players can observe each others’ action but ar...
Dipyaman Banerjee, Sandip Sen
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 9 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
ACMACE
2005
ACM
15 years 11 months ago
Motivation-driven educational game design: applying best practices to music education
Building upon research on motivation theory, we provide insights on how video games can be framed as expert tools that naturally reconcile learning and fun, a worthy goal since st...
Guillaume Denis, Pierre Jouvelot
ATAL
2011
Springer
14 years 6 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm