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GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 3 months ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno
AIIDE
2009
14 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
CEEMAS
2003
Springer
15 years 2 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diï¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
CIG
2005
IEEE
15 years 3 months ago
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners
— We study by computer simulation a population of individuals playing the prisoner’s dilemma game. Each player has an invariable strategy (cooperate or defect) but the network ...
Leslie Luthi, Mario Giacobini, Marco Tomassini
COMCOM
2004
117views more  COMCOM 2004»
14 years 9 months ago
The case for interdomain dynamic QoS-based service negotiation in the internet
The evolution of the Internet towards a global infrastructure for real time voice and video applications involves providing stringent Quality of Service (QoS) levels. Although som...
Carlos Alberto Kamienski, Djamel Sadok