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IJCNN
2006
IEEE
15 years 10 months ago
Learning a Rendezvous Task with Dynamic Joint Action Perception
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Nancy Fulda, Dan Ventura
ECML
1997
Springer
15 years 8 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
ICMAS
1998
15 years 5 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»
15 years 2 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
ICML
2009
IEEE
16 years 5 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