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AAAI
1998
13 years 10 months ago
Position Estimation for Mobile Robots in Dynamic Environments
For mobile robots to be successful, they have to navigate safely in populated and dynamic environments. While recent research has led to a variety of localization methods that can...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
JAIR
2008
157views more  JAIR 2008»
13 years 8 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 3 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
MABS
1998
Springer
14 years 1 months ago
Multi-Agent Architecture Integrating Heterogeneous Models of Dynamical Processes: The Representation of Time
Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of lo...
Edem Fianyo, Jean-Pierre Treuil, Edith Perrier, Yv...
AAMAS
2010
Springer
13 years 9 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada