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» Intelligent Agent Modeling as Serious Game
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ATAL
2008
Springer
13 years 10 months ago
Searching for approximate equilibria in empirical games
When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...
ATAL
2004
Springer
14 years 2 months ago
Preferences in Game Logics
We introduce a Game Logic with Preferences (GLP), which makes it possible to reason about how information or assumptions about the preferences of other players can be used by agen...
Sieuwert van Otterloo, Wiebe van der Hoek, Michael...
AIIDE
2009
13 years 10 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
AAAI
2010
13 years 10 months ago
Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games
Recently, algorithms for computing game-theoretic solutions have been deployed in real-world security applications, such as the placement of checkpoints and canine units at Los An...
Dmytro Korzhyk, Vincent Conitzer, Ronald Parr
AAAI
2007
13 years 11 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...