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» Algorithms for Parity Games
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ATAL
2011
Springer
14 years 6 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
AAAI
2007
15 years 8 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...
IAT
2009
IEEE
16 years 1 months ago
Bilateral Bargaining with One-Sided Two-Type Uncertainty
It is a challenging problem to find agents’ rational strategies in bargaining with incomplete information. In this paper we perform a game theoretic analysis of agents’ ratio...
Bo An, Nicola Gatti, Victor R. Lesser
IJCNN
2008
IEEE
16 years 28 days ago
Knowledge representation and acquisition for large-scale semantic memory
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Julian Szymanski, Wlodzislaw Duch
ASIAN
2007
Springer
157views Algorithms» more  ASIAN 2007»
16 years 21 days ago
A Logical Framework for Evaluating Network Resilience Against Faults and Attacks
Abstract. We present a logic-based framework to evaluate the resilience of computer networks in the face of incidents, i.e., attacks from malicious intruders as well as random faul...
Elie Bursztein, Jean Goubault-Larrecq