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Alessandro Lazaric
Alessandro Lazaric
Research Scientist, Facebook Artificial Intelligence Research
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Transfer in reinforcement learning: a framework and a survey
A Lazaric
Reinforcement Learning, 143-173, 2012
2592012
Best arm identification: A unified approach to fixed budget and fixed confidence
V Gabillon, M Ghavamzadeh, A Lazaric
Advances in Neural Information Processing Systems 25, 2012
2462012
Transfer of samples in batch reinforcement learning
A Lazaric, M Restelli, A Bonarini
Proceedings of the 25th international conference on Machine learning, 544-551, 2008
1662008
Linear thompson sampling revisited
M Abeille, A Lazaric
Artificial Intelligence and Statistics, 176-184, 2017
1582017
Reinforcement learning in continuous action spaces through sequential monte carlo methods
A Lazaric, M Restelli, A Bonarini
Advances in neural information processing systems 20, 2007
1482007
Best-arm identification in linear bandits
M Soare, A Lazaric, R Munos
Advances in Neural Information Processing Systems 27, 2014
1302014
Risk-aversion in multi-armed bandits
A Sani, A Lazaric, R Munos
Advances in Neural Information Processing Systems 25, 2012
1302012
Bayesian multi-task reinforcement learning
A Lazaric, M Ghavamzadeh
ICML-27th International Conference on Machine Learning, 599-606, 2010
1162010
Finite-sample analysis of least-squares policy iteration
A Lazaric, M Ghavamzadeh, R Munos
Journal of Machine Learning Research 13, 3041-3074, 2012
1062012
Learning near optimal policies with low inherent bellman error
A Zanette, A Lazaric, M Kochenderfer, E Brunskill
International Conference on Machine Learning, 10978-10989, 2020
992020
Multi-bandit best arm identification
V Gabillon, M Ghavamzadeh, A Lazaric, S Bubeck
Advances in Neural Information Processing Systems 24, 2011
992011
Sequential transfer in multi-armed bandit with finite set of models
A Lazaric, E Brunskill
Advances in Neural Information Processing Systems 26, 2013
862013
Reinforcement learning of POMDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
Conference on Learning Theory, 193-256, 2016
842016
Upper-confidence-bound algorithms for active learning in multi-armed bandits
A Carpentier, A Lazaric, M Ghavamzadeh, R Munos, P Auer
International Conference on Algorithmic Learning Theory, 189-203, 2011
842011
Analysis of a classification-based policy iteration algorithm
A Lazaric, M Ghavamzadeh, R Munos
ICML-27th International Conference on Machine Learning, 607-614, 2010
832010
Finite-sample analysis of LSTD
A Lazaric, M Ghavamzadeh, R Munos
ICML-27th International Conference on Machine Learning, 615-622, 2010
802010
Frequentist regret bounds for randomized least-squares value iteration
A Zanette, D Brandfonbrener, E Brunskill, M Pirotta, A Lazaric
International Conference on Artificial Intelligence and Statistics, 1954-1964, 2020
732020
Improved regret bounds for thompson sampling in linear quadratic control problems
M Abeille, A Lazaric
International Conference on Machine Learning, 1-9, 2018
692018
Efficient bias-span-constrained exploration-exploitation in reinforcement learning
R Fruit, M Pirotta, A Lazaric, R Ortner
International Conference on Machine Learning, 1578-1586, 2018
662018
LSTD with random projections
M Ghavamzadeh, A Lazaric, O Maillard, R Munos
Advances in Neural Information Processing Systems 23, 2010
662010
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