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» Strategy exploration in empirical games
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IJVR
2007
101views more  IJVR 2007»
13 years 7 months ago
Playful Geospatial Data Acquisition by Location-based Gaming Communities
—The success of Web 2.0 communities demonstrates that the users of an information service are willing to participate in the content creation process on a voluntary basis. In this...
Sebastian Matyas
CI
2010
129views more  CI 2010»
13 years 8 months ago
On-Line Case-Based Planning
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...
Santi Ontañón, Kinshuk Mishra, Neha ...
AAAI
2004
13 years 9 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
AAAI
2007
13 years 10 months ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
ICML
2005
IEEE
14 years 8 months ago
Learning to compete, compromise, and cooperate in repeated general-sum games
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...
Jacob W. Crandall, Michael A. Goodrich