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S. Nolfi et al. (Eds.): SAB 2006, LNAI 4095, pp. 394 405, 2006. Springer-Verlag Berlin Heidelberg 2006

Summary: S. Nolfi et al. (Eds.): SAB 2006, LNAI 4095, pp. 394­ 405, 2006.
© Springer-Verlag Berlin Heidelberg 2006
Combining Self-organizing Maps with Mixtures
of Experts: Application to an Actor-Critic Model
of Reinforcement Learning in the Basal Ganglia
Mehdi Khamassi1,2, Louis-Emmanuel Martinet1
, and Agnès Guillot1
Université Pierre et Marie Curie - Paris 6, UMR7606, AnimatLab - LIP6, F-75005 Paris,
France ; CNRS, UMR7606, F-75005 Paris, France
Laboratoire de Physiologie de la Perception et de l'Action, UMR7152 CNRS,
Collège de France, F-75005 Paris, France
{mehdi.khamassi, louis-emmanuel.martinet, agnes.guillot}@lip6.fr
Abstract. In a reward-seeking task performed in a continuous environment, our
previous work compared several Actor-Critic (AC) architectures implementing
dopamine-like reinforcement learning mechanisms in the rat's basal ganglia.
The task complexity imposes the coordination of several AC submodules, each
module being an expert trained in a particular subset of the task. We showed


Source: Arleo, Angelo - Laboratory of Neurobiology of Adaptive Processes, Université Pierre-et-Marie-Curie, Paris 6


Collections: Biology and Medicine