Hervé Frezza-Buet
Hervé Frezza-Buet
Verified email at supelec.fr - Homepage
Cited by
Cited by
Sample-efficient batch reinforcement learning for dialogue management optimization
O Pietquin, M Geist, S Chandramohan, H Frezza-Buet
ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-21, 2011
Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network
H Frezza-Buet
Neurocomputing 71 (7-9), 1191-1202, 2008
Model of multi-modal cortical processing: Coherent learning in self-organizing modules
O Ménard, H Frezza-Buet
Neural Networks 18 (5-6), 646-655, 2005
From a biological to a computational model for the autonomous behavior of an animat
H Frezza-Buet, F Alexandre
Information sciences 144 (1-4), 1-43, 2002
Can self-organisation emerge through dynamic neural fields computation?
L Alecu, H Frezza-Buet, F Alexandre
Connection Science 23 (1), 1-31, 2011
Integration of biologically inspired temporal mechanisms into a cortical framework for sequence processing
H Frezza-Buet, N Rougier, F Alexandre
Sequence learning, 321-348, 2000
Un modèle de cortex pour le comportement motivé d'un agent neuromimétique autonome
H Frezza-Buet
Université Henri Poincaré-Nancy 1, 1999
Modeling prefrontal functions for robot navigation
H Frezza-Buet, F Alexandre
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
A C++ template-based reinforcement learning library: Fitting the code to the mathematics
H Frezza-Buet, M Geist
The Journal of Machine Learning Research 14 (1), 625-628, 2013
Multi-map self-organization for sensorimotor learning: a cortical approach
O Ménard, H Frezza-Buet
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas
H Frezza-Buet
Neural networks 60, 203-221, 2014
Specialization within cortical models: An application to causality learning
H Frezza-Buet, F Alexandre
7th European Symposium on Artificial Neural Networks-ESANN'99, 6 p, 1999
Selection of action with a cortically-inspired model
H Frezza-Buet, F Alexandre
Seventh European Workshop on Learning Robots, 13-21, 1998
Yarbus: Yet another rule based belief update system
J Fix, H Frezza-Buet
arXiv preprint arXiv:1507.06837, 2015
An interactive problem modeller and PDE solver, distributed on large scale architectures
N Fressengeas, H Frezza-Buet, J Gustedt, S Vialle
Third International Workshop on Distributed Frameworks for Multimedia …, 2007
Making cortically-inspired sensorimotor control realistic for robotics: Design of an extended parallel cellular programming model
O Ménard, S Vialle, H Frezza-Buet
International Conference on Advances in Intelligent Systems-Theory and …, 2004
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking.
GA Drumea, H Frezza-Buet
ESANN, 43-48, 2007
Rewarded multi-modal neuronal self-organization: Example of the arm reaching movement
O Ménard, H Frezza-Buet
International Conference on Advances in Intelligent Systems-Theory and …, 2004
Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems
B Khouzam, H Frezza-Buet
Biologically Inspired Cognitive Architectures 3, 87-104, 2013
Dynamic neural field optimization using the unscented Kalman filter
J Fix, M Geist, O Pietquin, H Frezza-Buet
2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms …, 2011
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