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Camille Besse
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Bayesian reinforcement learning in continuous POMDPs with Gaussian processes
P Dallaire, C Besse, S Ross, B Chaib-draa
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
512009
Learning Gaussian process models from uncertain data
P Dallaire, C Besse, B Chaib-Draa
Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009
392009
Solving the continuous time multiagent patrol problem
JS Marier, C Besse, B Chaib-Draa
2010 IEEE International Conference on Robotics and Automation, 941-946, 2010
382010
An approximate inference with Gaussian process to latent functions from uncertain data
P Dallaire, C Besse, B Chaib-Draa
Neurocomputing 74 (11), 1945-1955, 2011
332011
A Markov model for multiagent patrolling in continuous time
JS Marier, C Besse, B Chaib-Draa
Neural Information Processing: 16th International Conference, ICONIP 2009 …, 2009
142009
Quasi-deterministic partially observable markov decision processes
C Besse, B Chaib-Draa
International Conference on Neural Information Processing, 237-246, 2009
122009
Parallel Rollout for Online Solution of Dec-POMDPs.
C Besse, B Chaib-draa
FLAIRS, 619-624, 2008
102008
An efficient model for dynamic and constrained resource allocation problems
C Besse, B Chaib-draa
Proceedings of the 2nd International Workshop on Constraint Satisfaction …, 2007
102007
Forecasting pharmacy purchases orders
BK Almentero, J Li, C Besse
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021
92021
Micro‐level reserving for general insurance claims using a long short‐term memory network
I Chaoubi, C Besse, H Cossette, MP Côté
Applied Stochastic Models in Business and Industry 39 (3), 382-407, 2023
52023
R-FRTDP: A real-time DP algorithm with tight bounds for a stochastic resource allocation problem
C Besse, P Plamondon, B Chaib-Draa
Advances in Artificial Intelligence: 20th Conference of the Canadian Society …, 2007
42007
Why Natural Gradient for General Optimization?
C Besse
Departement Informatique, Universite Laval Sainte-Foy (Quebec), Canada, Tutorial, 2009
32009
Explainable machine learning for drug shortage prediction in a pandemic setting
J Li, BK Almentero, C Besse
International Conference on Machine Learning, Optimization, and Data Science …, 2022
22022
Quasi Deterministic POMDPs and DecPOMDPs
C Besse, B Chaib-draa
Fifth Workshop on Multi-agent Sequential Decision Making in Uncertain …, 2010
22010
Recherche de conformation de molécules et apprentissage du potentiel de Lennard-Jones par systèmes multi-agents adaptatifs
C BESSE-PATIN
Institut de recherche informatique de Toulouse, 2005
22005
Particle filter-based policy gradient in POMDPs
C Besse
Citeseer, 2009
12009
A markovian model for dynamic and constrained resource allocation problems
C Besse, B Chaib-Draa
Proceedings of the National Conference on Artificial Intelligence 22 (2), 1846, 2007
12007
Forecasting Conflicts Using N-Grams Models
C Besse, A Bakhtiari, L Lamontagne
Twenty-Fifth International FLAIRS Conference, 2012
2012
Forecasting Conflicts using N-gram Models
A Bakhtiari, C Besse, L Lamontagne
Second Workshop on Computational Social Science and the Wisdom of Crowds …, 2011
2011
Contraintes et observabilité dans les systèmes de Markov décentralisés
C Besse
Université Laval, 2010
2010
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