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NIPS
2003
15 years 7 months ago
Extending Q-Learning to General Adaptive Multi-Agent Systems
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
Gerald Tesauro
AAAI
2012
13 years 8 months ago
Double-Bit Quantization for Hashing
Hashing, which tries to learn similarity-preserving binary codes for data representation, has been widely used for efficient nearest neighbor search in massive databases due to i...
Weihao Kong, Wu-Jun Li
AAAI
2007
15 years 8 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
ATAL
2008
Springer
15 years 8 months ago
Social reward shaping in the prisoner's dilemma
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
IADIS
2004
15 years 7 months ago
WASA: An Intelligent Agent for Web-Based Self-Assessment
WASA is an intelligent self-assessment agent of WADIES, a web-based learning environment which adapts its material to reflect the needs of the individual learner, whether it is fo...
Katerina Georgouli