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AAMAS
2006
Springer
14 years 11 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
NECO
2007
150views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ATAL
2007
Springer
15 years 5 months ago
Learning consumer preferences using semantic similarity
In online, dynamic environments, the services requested by consumers may not be readily served by the providers. This requires the service consumers and providers to negotiate the...
Reyhan Aydogan, Pinar Yolum
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 5 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
GAMEON
2003
15 years 1 months ago
A Web-Based Game for Supporting Game-Based Learning
Game-based learning has been recognized as an important alternative or supplement to traditional in-class, face-to-face teaching. It can help both adults and children in learning ...
Olga Dzianbenko, Maja Pivec, Christos Bouras, Vagg...