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Coulom, Rémi - Groupe de Recherche sur l'Apprentissage Automatique, Université Charles de Gaulle - Lille3
Criticality: a Monte-Carlo Heuristic for Go Remi Coulom
High-Accuracy Value-Function Approximation with Neural Networks Applied to the Acrobot
A Model-Based Actor-Critic Algorithm in Continuous Time and Space Rmi Coulom Remi.Coulom@loria.fr
INSTITUT NATIONAL POLYTECHNIQUE DE GRENOBLE pour obtenir le grade de
Computing Elo Ratings of Move Patterns in the Game of Go Remi Coulom
Des rseaux de neurones artificiels apprennent la natation Des techniques inspires par l'tude du fonctionnement du cerveau humain permettent
Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
Treemaps for Search-Tree Visualization Remi Coulom
Monte-Carlo Tree Search in Crazy Stone Remi Coulom
Monte-Carlo Simulation Balancing in Practice Shih-Chieh Huang1
Crazy Stone wins First UEC Cup 1 Crazy Stone wins First UEC Cup
The Monte-Carlo Revolution in Go Remi Coulom
Computing Elo Ratings of Move Patterns in the Rmi Coulom
Time Management for Monte-Carlo Tree Search Applied to the Game of Go Shih-Chieh Huang
Minimizing the Mean of a Random Variable with One Real Parameter
CLOP: Confident Local Optimization for Noisy Black-Box Parameter Tuning
