Adrien Couëtoux
Adrien Couëtoux
Data Scientist, QuantumBlack
Verified email at quantumblack.com
Title
Cited by
Cited by
Year
The 2014 general video game playing competition
D Perez-Liebana, S Samothrakis, J Togelius, T Schaul, SM Lucas, ...
IEEE Transactions on Computational Intelligence and AI in Games 8 (3), 229-243, 2016
1882016
Continuous upper confidence trees
A Couëtoux, JB Hoock, N Sokolovska, O Teytaud, N Bonnard
International Conference on Learning and Intelligent Optimization, 433-445, 2011
1242011
Continuous upper confidence trees
A Couëtoux, JB Hoock, N Sokolovska, O Teytaud, N Bonnard
International Conference on Learning and Intelligent Optimization, 433-445, 2011
1242011
Continuous upper confidence trees with polynomial exploration–consistency
D Auger, A Couëtoux, O Teytaud
Machine Learning and Knowledge Discovery in Databases, 194-209, 2013
372013
The 2016 Two-Player GVGAI Competition
RD Gaina, A Couëtoux, DJNJ Soemers, MHM Winands, T Vodopivec, ...
IEEE Transactions on Computational Intelligence and AI in Games, 2017
282017
Monte carlo tree search for continuous and stochastic sequential decision making problems
A Couetoux
Université Paris Sud-Paris XI, 2013
222013
Continuous rapid action value estimates
A Couëtoux, M Milone, M Brendel, H Doghmen, M Sebag, O Teytaud
Asian Conference on Machine Learning, 19-31, 2011
192011
Benchmarking for bayesian reinforcement learning
M Castronovo, D Ernst, A Couëtoux, R Fonteneau
PloS one 11 (6), e0157088, 2016
132016
Improving the exploration in upper confidence trees
A Couetoux, H Doghmen, O Teytaud
Learning and Intelligent Optimization, 366-371, 2012
112012
Consistent belief state estimation, with application to mines
A Couetoux, M Milone, O Teytaud
Technologies and Applications of Artificial Intelligence (TAAI), 2011 …, 2011
72011
Monte Carlo Tree Search in Go
A Couëtoux, M Müller, O Teytaud
42017
Adding double progressive widening to upper confidence trees to cope with uncertainty in planning problems
A Couëtoux, H Doghmen
The 9th European Workshop on Reinforcement Learning (EWRL-9), 2011
42011
Combining policies: the best of human expertise and neurocontrol
V Berthier, A Couëtoux, O Teytaud
Evolutionary Algorithms 2015, 13, 2015
32015
Strategic Choices in Optimization.
CW Chou, PC Chou, JJ Christophe, A Couëtoux, P De Freminville, ...
J. Inf. Sci. Eng. 30 (3), 727-747, 2014
32014
Approximate Bayes Optimal Policy Search using Neural Networks
M Castronovo, V François-Lavet, R Fonteneau, D Ernst, A Couëtoux
Proceedings of the 9th International Conference on Agents and Artificial …, 2017
22017
Learning a move-generator for upper confidence trees
A Couetoux, O Teytaud, H Doghmen
Advances in Intelligent Systems and Applications-Volume 1, 209-218, 2013
22013
Monte Carlo Tree Search appliqué à la gestion de stocks
A Couetoux, O Teytaud, N Bonnard, N Omont, O Ratier
ROADEF 2011, N° 241, pI-149, 2011
12011
Monte Carlo Tree Search for Continuous and Stochastic Sequential Decision Making Problems.(Monte Carlo Tree Search pour les problèmes de décision séquentielle en milieu …
A Couëtoux
University of Paris-Sud, Orsay, France, 2013
2013
Noisy optimization
S Astete-Morales, ML Cauwet, A Couetoux, J Decock, J Liu, O Teytaud
Dagstuhl seminar 13271, 2013
2013
Learning a Move-Generator for Upper Con dence Trees
A Couetoux, O Teytaud, H Doghmen
International Computer Symposium 2012, 2012
2012
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