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» An Integrated Agent for Playing Real-Time Strategy Games
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FLAIRS
2008
13 years 10 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore
ATAL
2011
Springer
12 years 7 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
AIIDE
2009
13 years 8 months ago
Adapting Game-Playing Agents to Game Requirements
We examine the problem of self-adaptation in game-playing agents as the game requirements evolve incrementally. The goal of our current work is to develop an interactive environme...
Joshua Jones, Chris Parnin, Avik Sinharoy, Spencer...
ATAL
2008
Springer
13 years 9 months ago
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the other agent (the follower or adversary) before the adv...
Praveen Paruchuri, Jonathan P. Pearce, Janusz Mare...
ICCBR
2005
Springer
14 years 1 months ago
Advertising Strategies: Learning Competence through Cooperative Game Playing
In this paper we consider the competition on the Internet between information providers to maximise their exposure to a relevant audience. Spammers and Search engine gamers adopt a...
Paolo Avesani, Conor Hayes