Alessandro Lazaric
机构: Research Scientist, Facebook Artificial Intelligence Research
主页: inria.fr
每年引用次数
引用次数
引用: 6,960
H-指数: 45
I10-指数 : 105
出版物: 272
PIECEWISE CONSTANT REINFORCEMENT LEARNING FOR ROBOTIC APPLICATIONS
Andrea Bonarini , Alessandro Lazaric , Marcello Restelli
international conference on informatics in control, automation and robotics 214 -221
1
2007
Improving Batch Reinforcement Learning Performance through Transfer of Samples
Andrea Bonarini , Alessandro Lazaric , Marcello Restelli
starting ai researchers' symposium 106 -117
2008
Improving Cooperation among Self-Interested Reinforcement Learning Agents
Andrea Bonarini , Alessandro Lazaric , Marcello Restelli , Enrique Munoz de Cote
european conference on machine learning 1 -8
6
2005
On the Usefulness of Opponent Modeling: the Kuhn Poker case study (Short Paper)
Alessandro Lazaric , Mario Quaresimale , Marcello Restelli
2008
MESSI: Maximum Entropy Semi-Supervised Inverse Reinforcement Learning
Mohammad Ghavamzadeh , Alessandro Lazaric , Julien Audiffren , Michal Valko
neural information processing systems
2014
Finite-Sample Analysis of Lasso-TD
Mohammad Ghavamzadeh , Alessandro Lazaric , Matthew Hoffman , R mi Munos
international conference on machine learning 1177 -1184
46
2011
A truthful learning mechanism for multi-slot sponsored search auctions with externalities
Alessandro Lazaric , Nicola Gatti , Francesco Trovò
adaptive agents and multi-agents systems 227 1325 -1326
16
2012
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Alessandro Lazaric , Marcello Restelli , Eliseo Ferrante
adaptive agents and multi-agents systems 3 1329 -1332
17
2008
Bifurcation Analysis of Reinforcement Learning Agents
A. Lazaric , F. Dercole , M. Restelli , E. Munoz de Cote
Springer Verlag
2008
Stochastic Optimization of a Locally Smooth Function under Correlated Bandit Feedback.
Alessandro Lazaric , Emma Brunskill , Mohammad Gheshlaghi Azar
6
2014
A Dantzig Selector Approach to Temporal Difference Learning
Mohammad Ghavamzadeh , Alessandro Lazaric , Bruno Scherrer , Matthieu Geist
international conference on machine learning 347 -354
22
2012
Semi-Supervised Apprenticeship Learning
Mohammad Ghavamzadeh , Alessandro Lazaric , Michal Valko
european workshop on reinforcement learning 24 131 -142
9
2012
A Learning Approach to Dynamic Coalition Formation
A. Bonarini , A Lazaric , M Restelli , DE Cote E Munoz
adaptive and learning agents 1 -7
2007
Bayesian Multi-Task Reinforcement Learning
Mohammad Ghavamzadeh , Alessandro Lazaric
international conference on machine learning 599 -606
65
2010
Classification-based Policy Iteration with a Critic
Mohammad Ghavamzadeh , Victor Gabillon , Alessandro Lazaric , Bruno Scherrer
international conference on machine learning 1049 -1056
20
2011
Finite-Sample Analysis of Bellman Residual Minimization
Mohammad Ghavamzadeh , Alessandro Lazaric , Rémi Munos , Odalric-Ambrym Maillard
asian conference on machine learning 299 -314
20
2010
Risk-Aversion in Multi-armed Bandits
Alessandro Lazaric , Rémi Munos , Amir Sani
neural information processing systems 25 3275 -3283
64
2012
Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning
Ioannis Koutis , Alessandro Lazaric , Daniele Calandriello , Michal Valko
arXiv: Machine Learning
1
2016
A Truthful Learning Mechanism for Multi-Slot Sponsored Search Auctions with Externalities (Extended Abstract)
Alessandro Lazaric , Nicola Gatti , Francesco Trovò
2012
Improved Learning Complexity in Combinatorial Pure Exploration Bandits
Mohammad Ghavamzadeh , Victor Gabillon , Alessandro Lazaric , Peter L. Bartlett
international conference on artificial intelligence and statistics 1004 -1012
23
2016
Matteo Pirotta Mohammad Ghavamzadeh Marcello Restelli Michal Valko Rémi Munos Andrea Bonarini Emma Brunskill Daniele Calandriello Jean Tarbouriech Marc Abeille Andrea Tirinzoni Ronan Fruit Evrard Garcelon Andrea Zanette Marta Soare Denis Yarats Lerrel Pinto Anima Anandkumar Kamyar Azizzadenesheli Amir Sani