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ATAL
2009
Springer
14 years 5 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
IBPRIA
2007
Springer
14 years 5 months ago
Stochastic Local Search for Omnidirectional Catadioptric Stereovision Design
Abstract. This paper deals with a compact catadioptric omnidirectional stereovision system based on a single camera and multi-mirrors (at least two mirrors). Many configurations w...
Gilles Dequen, Laure Devendeville, E. Mouaddib
CONCUR
2005
Springer
14 years 4 months ago
A Compositional Approach to the Stochastic Dynamics of Gene Networks
We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
Luca Cardelli
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 9 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 9 months ago
A robotic module for stochastic fluidic assembly of 3D self-reconfiguring structures
— Stochastic self-reconfiguring robots are modular robots that possess the ability to autonomously change the arrangement of their modules and do so through the use of nondetermi...
Jonas Neubert, Abraham P. Cantwell, Stephane Const...