60 search results - page 12 / 12 » DFA Learning of Opponent Strategies |
ATAL
2003
Springer
13 years 10 months ago
2003
Springer
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
JAIR
2008
13 years 5 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
GLOBECOM
2009
IEEE
13 years 8 months ago
2009
IEEE
—This paper considers a non-cooperative game in which competing users sharing a frequency-selective interference channel selfishly optimize their power allocation in order to imp...