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» Multiagent learning using a variable learning rate
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SBIA
1998
Springer
15 years 10 months ago
Building Object-Agents from a Software Meta-Architecture
Multi-agent systems can be viewed as object-oriented systems in which their entities show an autonomous behavior. If objects could acquire such skill in a flexible way, agents coul...
Analía Amandi, Ana Price
EAAI
2006
78views more  EAAI 2006»
15 years 6 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...
SASO
2009
IEEE
16 years 1 months ago
Self-organizing Bandwidth Sharing in Priority-Based Medium Access
In this paper, we present an analysis of self-organizing bandwidth sharing in priority-based medium access. For this purpose, the priority-based Access Game is introduced. Analysi...
Stefan Wildermann, Tobias Ziermann, Jürgen Te...
ATAL
2011
Springer
14 years 6 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
CVPR
2009
IEEE
17 years 1 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori