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ICML
2004
IEEE
16 years 7 months ago
Communication complexity as a lower bound for learning in games
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
Vincent Conitzer, Tuomas Sandholm
194
Voted
IEEECGIV
2005
IEEE
15 years 11 months ago
A Practical Implementation of a 3-D Game Engine
Creating a 3-D game engine is not a trivial task as gamers often demand for high quality output with top notch performance in games. In this paper, we show you how various real-ti...
Thomas C. S. Cheah, Kok-Why Ng
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 9 months ago
The parallel Nash Memory for asymmetric games
Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function...
Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlas...
MOBIHOC
2012
ACM
13 years 8 months ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang
188
Voted
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 9 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono