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» Probabilistic Techniques in Algorithmic Game Theory
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GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 25 days ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
VRST
2003
ACM
14 years 21 days ago
Alternative reality: a new platform for virtual reality art
Virtual Reality Art involves the design of artificial worlds that offer new experiences to spectators. An important aspect for the development of VR Art installations is the princ...
Marc Cavazza, Simon Hartley, Jean-Luc Lugrin, Mika...
ATAL
2008
Springer
13 years 9 months ago
Social reward shaping in the prisoner's dilemma
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
AUTOMATICA
2008
154views more  AUTOMATICA 2008»
13 years 7 months ago
Approximately bisimilar symbolic models for nonlinear control systems
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
Giordano Pola, Antoine Girard, Paulo Tabuada
EGH
2010
Springer
13 years 5 months ago
Texture compression of light maps using smooth profile functions
Light maps have long been a popular technique for visually rich real-time rendering in games. They typically contain smooth color gradients which current low bit rate texture comp...
Jim Rasmusson, Jacob Ström, Per Wennersten, M...