Publications associées à Model-based reinforcement learning and navigation in animals and machines

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Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Max-Olivier Hongler, Julio Rodriguez

We study the dynamics of a network consisting of N diffusively coupled, stable- limit-cycle oscillators on which individual frequencies are parametrized by

w_k, k = 1, . . . ,N

. We introduce a learning rule which influences the wk by driving the system t ...

2009

Model-based reinforcement learning and navigation in animals and machines

Graph Chatbot

Chattez avec Graph Search

Simulating Learning Dynamics in Project Networks

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios

Selective learning and memory impairments in mice deficient for polysialylated NCAM in adulthood

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

Adding prediction risk to the theory of reward learning

Adding prediction risk to the theory of reward learning

Spatial learning and navigation in the rat

Competition between cue response and place response: A model of rat navigation behaviour

Méthodes infographiques pour l'apprentissage des agents autonomes virtuels

Selective learning and memory impairments in mice deficient for polysialylated NCAM in adulthood

Simulating Learning Dynamics in Project Networks

Spatial learning and navigation in the rat

Competition between cue response and place response: A model of rat navigation behaviour

Adding prediction risk to the theory of reward learning

Adding prediction risk to the theory of reward learning

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

Méthodes infographiques pour l'apprentissage des agents autonomes virtuels

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios

Networks of mixed canonical-dissipative systems and dynamic hebbian learning