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ATAL
2008
Springer
15 years 9 months ago
Using adaptive consultation of experts to improve convergence rates in multiagent learning
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that a...
Greg Hines, Kate Larson
ACMACE
2006
ACM
16 years 1 months 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
CW
2005
IEEE
16 years 25 days ago
On a Serverless Networked Virtual Ball Game for Multi-Player
This paper studies the way to improve consistency of states in a ball-game typed Distributed Virtual Environment (DVE) with lag, in peer-to-peer (P2P) architecture. That is, we ar...
Yoshihiro Kawano, Tatsuhiro Yonekura
ECAI
2004
Springer
16 years 18 days ago
Adversarial Constraint Satisfaction by Game-Tree Search
Many decision problems can be modelled as adversarial constraint satisfaction, which allows us to integrate methods from AI game playing. In particular, by using the idea of oppone...
Kenneth N. Brown, James Little, Páidí...
AAAI
2007
15 years 9 months ago
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
Colin McMillen, Manuela M. Veloso