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ECML
1997
Springer
15 years 4 months ago
Ibots Learn Genuine Team Solutions
\Ibots" (Integrating roBOTS) is a computer experiment in group learning. It is designed to understand how to use reinforcement learning to program automatically a team of robo...
Cristina Versino, Luca Maria Gambardella
99
Voted
ICMAS
1998
15 years 2 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
COST
2009
Springer
185views Multimedia» more  COST 2009»
14 years 10 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
AUTOMATICA
2008
198views more  AUTOMATICA 2008»
14 years 11 months ago
Asynchronous cellular learning automata
Cellular learning automata is a combination of cellular automata and learning automata. The synchronous version of cellular learning automata in which all learning automata in dif...
Hamid Beigy, Mohammad Reza Meybodi
101
Voted
ICML
2009
IEEE
16 years 1 months ago
Binary action search for learning continuous-action control policies
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Jason Pazis, Michail G. Lagoudakis