179 search results - page 32 / 36 » On Learning Algorithms for Nash Equilibria |
UAI
2000
14 years 10 months ago
2000
Cooperative games are those in which both agents share the same payoff structure. Valuebased reinforcement-learning algorithms, such as variants of Q-learning, have been applied t...
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ICC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— We describe a decentralized learning-based activation algorithm for a ZigBee-enabled unattended ground sensor network. Sensor nodes learn to monitor their environment i...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
AI
2004
Springer
14 years 9 months ago
2004
Springer
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...