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67 Results
|
Optimal Strategies for Graph-Structured Bandits2020
Preprints, Working Papers, ...
hal-02891139v2
|
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|
Compressed Least-Squares RegressionNIPS 2009, Dec 2009, Vancouver, Canada
Conference papers
inria-00419210v2
|
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|
Farm-gym: A modular reinforcement learning platform for stochastic agronomic gamesAIAFS 2023 - Artificial Intelligence for Agriculture and Food Systems, Feb 2023, Wahington DC, United States
Conference papers
hal-03960683v1
|
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|
Risk-aware linear bandits with convex lossEuropean Workshop on Reinforcement Learning, Sep 2022, Milan, Italy
Conference papers
hal-03776680v1
|
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Selecting the State-Representation in Reinforcement LearningNeural Information Processing Systems, Dec 2011, Granada, Spain
Conference papers
hal-00639483v1
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Hierarchical Optimistic Region Selection driven by Curiosity2012
Preprints, Working Papers, ...
hal-00740418v1
|
||
|
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem2016
Preprints, Working Papers, ...
hal-01400320v1
|
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Sub-sampling for Multi-armed BanditsProceedings of the European Conference on Machine Learning, 2014, pp.13
Journal articles
hal-01025651v2
|
||
|
Risk-aware linear bandits with convex lossInternational Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023, Valencia, Spain
Conference papers
hal-04044440v1
|
||
|
Active Roll-outs in MDP with Irreversible Dynamics2019
Preprints, Working Papers, ...
hal-02177808v1
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Learning Multiple Markov Chains via Adaptive AllocationAdvances in Neural Information Processing Systems 32 (NIPS 2019), Dec 2019, Vancouver, Canada
Conference papers
hal-02387345v1
|
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|
Upper Confidence Reinforcement Learning exploiting state-action equivalence2018
Preprints, Working Papers, ...
hal-01945034v1
|
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Kullback-Leibler Upper Confidence Bounds for Optimal Sequential AllocationAnnals of Statistics, 2013, 41 (3), pp.1516-1541. ⟨10.1214/13-AOS1119⟩
Journal articles
hal-00738209v2
|
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Practical Open-Loop Optimistic PlanningEuropean Conference on Machine Learning, Sep 2019, Würzburg, Germany
Conference papers
hal-02375697v1
|
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Efficient tracking of a growing number of expertsAlgorithmic Learning Theory, Oct 2017, Tokyo, Japan. pp.1 - 23
Conference papers
hal-01615424v1
|
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Basic Concentration Properties of Real-Valued DistributionsDoctoral. France. 2017
Lectures
cel-01632228v1
|
||
|
Memory Bandits: Towards the Switching Bandit Problem Best ResolutionMLSS 2018 - Machine Learning Summer School, Aug 2018, Madrid, Spain
Poster communications
hal-01879251v1
|
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Concentration inequalities for sampling without replacementBernoulli, 2015, 21 (3), pp.1361-1385. ⟨10.3150/14-BEJ605⟩
Journal articles
hal-01216652v1
|
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Mathematics of Statistical Sequential Decision MakingMathematics [math]. Université de Lille, Sciences et Technologies, 2019
Habilitation à diriger des recherches
tel-02162189v1
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Learning Value Functions in Deep Policy Gradients using Residual VarianceICLR 2021 - International Conference on Learning Representations, May 2021, Vienna / Virtual, Austria
Conference papers
hal-02964174v3
|
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From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic BanditsNeurIPS 2021 - 35th International Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
Conference papers
hal-03421252v2
|
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Local Dvoretzky-Kiefer-Wolfowitz confidence bandsMathematical Methods of Statistics, 2022, ⟨10.3103/S1066530721010038⟩
Journal articles
hal-03780573v1
|
||
|
Stochastic bandits with groups of similar armsNeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
Conference papers
hal-03427597v1
|
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Sequential change-point detection: Laplace concentration of scan statistics and non-asymptotic delay boundsAlgorithmic Learning Theory, 2019, Chicago, United States. pp.1 - 23
Conference papers
hal-02351665v1
|
||
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Approximate Robust Control of Uncertain Dynamical Systems2019
Preprints, Working Papers, ...
hal-01931744v2
|
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Optimal Regret Bounds for Selecting the State Representation in Reinforcement LearningICML - 30th International Conference on Machine Learning, 2013, Atlanta, USA, United States. pp.543-551
Conference papers
hal-00778586v1
|
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Finite-Sample Analysis of Bellman Residual MinimizationAsian Conference on Machine Learning, 2010, Japan
Conference papers
hal-00830212v1
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Improved Exploration in Factored Average-Reward MDPs24th International Conference on Artificial Intelligence and Statistics, 2021, San diego (virtual), United States
Conference papers
hal-03780564v1
|
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Boundary Crossing Probabilities for General Exponential FamiliesMathematical Methods of Statistics, 2018, 27, pp.1-31. ⟨10.3103/S1066530718010015⟩
Journal articles
hal-01737150v1
|
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Tightening Exploration in Upper Confidence Reinforcement LearningInternational Conference on Machine Learning, Jul 2020, Vienna, Austria
Conference papers
hal-03000664v1
|