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» Using Reinforcement Learning to Coordinate Better
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JAIR
2002
163views more  JAIR 2002»
14 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
14 years 8 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus
ESANN
2007
14 years 11 months ago
Replacing eligibility trace for action-value learning with function approximation
The eligibility trace is one of the most used mechanisms to speed up reinforcement learning. Earlier reported experiments seem to indicate that replacing eligibility traces would p...
Kary Främling
COST
2009
Springer
185views Multimedia» more  COST 2009»
14 years 7 months ago
How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human?
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...
Ken Prepin, Philippe Gaussier
AIIDE
2006
14 years 10 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan