Olivier Sigaud
Olivier Sigaud
professeur d'informatique, Sorbonne Université
Bestätigte E-Mail-Adresse bei upmc.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Markov decision processes in artificial intelligence
John Wiley & Sons, 2010
223*2010
Path integral policy improvement with covariance matrix adaptation
F Stulp, O Sigaud
arXiv preprint arXiv:1206.4621, 2012
1982012
Anticipatory behavior in adaptive learning systems: From brains to individual and social behavior
MV Butz, O Sigaud, G Pezzulo, G Baldassarre
Lecture Notes In Artificial Intelligence, Springer, 2007
161*2007
Learning the structure of factored markov decision processes in reinforcement learning problems
T Degris, O Sigaud, PH Wuillemin
Proceedings of the 23rd international conference on Machine learning, 257-264, 2006
1402006
On-line regression algorithms for learning mechanical models of robots: a survey
O Sigaud, C Salaün, V Padois
Robotics and Autonomous Systems 59 (12), 1115-1129, 2011
1362011
Learning classifier systems: a survey
O Sigaud, SW Wilson
Soft Computing 11 (11), 1065-1078, 2007
1292007
Robot skill learning: From reinforcement learning to evolution strategies
F Stulp, O Sigaud
Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013
1202013
Internal models and anticipations in adaptive learning systems
MV Butz, O Sigaud, P Gerard
Anticipatory behavior in adaptive learning systems, 86-109, 2003
1142003
Many regression algorithms, one unified model: A review
F Stulp, O Sigaud
Neural Networks 69, 60-79, 2015
1062015
Anticipatory behavior: Exploiting knowledge about the future to improve current behavior
MV Butz, O Sigaud, P Gérard
Anticipatory behavior in adaptive learning systems, 1-10, 2003
982003
Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations
F Lesaint, O Sigaud, SB Flagel, TE Robinson, M Khamassi
PLoS Comput Biol 10 (2), e1003466, 2014
802014
Anticipatory behavior in adaptive learning systems: Foundations, Theories and Systems
MV Butz, O Sigaud, P Gérard
Lecture Notes in Artificial Intelligence,, 2003
802003
Object learning through active exploration
S Ivaldi, SM Nguyen, N Lyubova, A Droniou, V Padois, D Filliat, ...
IEEE Transactions on Autonomous Mental Development 6 (1), 56-72, 2014
782014
Learning Compact Parameterized Skills with a Single Regression
F Stulp, G Raiola, A Hoarau, S Ivaldi, O Sigaud
IEEE Humanoids 5, 9, 2013
782013
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
C Colas, O Sigaud, PY Oudeyer
International Conference in Machine Learning (ICML), 2018
742018
Policy improvement methods: Between black-box optimization and episodic reinforcement learning
F Stulp, O Sigaud
642012
Deep unsupervised network for multimodal perception, representation and classification
A Droniou, S Ivaldi, O Sigaud
Robotics and Autonomous Systems 71, 83-98, 2015
572015
CURIOUS: intrinsically motivated modular multi-goal reinforcement learning
C Colas, P Fournier, M Chetouani, O Sigaud, PY Oudeyer
International conference on machine learning, 1331-1340, 2019
562019
YACS: a new learning classifier system using anticipation
P Gerard, W Stolzmann, O Sigaud
Soft Computing 6 (3-4), 216-228, 2002
552002
Unsupervised learning of goal spaces for intrinsically motivated goal exploration
A Péré, S Forestier, O Sigaud, PY Oudeyer
arXiv preprint arXiv:1803.00781, 2018
472018
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