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Structure: Internal structure identifier : 1042631

Adversarial Attacks on Linear Contextual Bandits

Evrard Garcelon , Baptiste Roziere , Laurent Meunier , Jean Tarbouriech , Olivier Teytaud , et al.
2020
Preprints, Working Papers, ... hal-02979184v1
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On Limited-Memory Subsampling Strategies for Bandits

Dorian Baudry , Yoan Russac , Olivier Cappé
ICML 2021- International Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers hal-03265442v1
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Learning Value Functions in Deep Policy Gradients using Residual Variance

Yannis Flet-Berliac , Reda Ouhamma , Odalric-Ambrym Maillard , Philippe Preux
ICLR 2021 - International Conference on Learning Representations, May 2021, Vienna / Virtual, Austria
Conference papers hal-02964174v3
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Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling

Cindy Trinh , Emilie Kaufmann , Claire Vernade , Richard Combes
ALT 2020 - 31st International Conference on Algorithmic Learning Theory, Feb 2020, San Diego, United States. pp.1 - 28
Conference papers hal-02396943v2

On Meritocracy in Optimal Set Selection

Thomas Kleine Buening , Meirav Segal , Debabrota Basu , Anne-Marie George , Christos Dimitrakakis
EAAMO 2022- Equity and Access in Algorithms, Mechanisms, and Optimization, ACM, Oct 2022, Arlington, United States
Conference papers hal-03445971v1

Impact of Robotic Assistance on Complications in Bariatric Surgery at Expert Laparoscopic Surgery Centers: A Retrospective Comparative Study With Propensity Score

Robert Caiazzo , Pierre Bauvin , Camille Marciniak , Patrick Saux , Geoffrey Jacqmin , et al.
Annals of Surgery, 2023, 278 (4), pp.489-496. ⟨10.1097/SLA.0000000000005969⟩
Journal articles hal-04198805v1
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Non-Parametric Algorithms for Multi-Armed Bandits

Dorian Baudry
Computer Science [cs]. Université de Lille, 2022. English. ⟨NNT : ⟩
Theses tel-04017380v1
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AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents

Timothée Mathieu , Riccardo Della Vecchia , Alena Shilova , Matheus Centa de Medeiros , Hector Kohler , et al.
RR-9513, Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille. 2023
Reports hal-04132861v1
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Meta-learning from Learning Curves: Challenge Design and Baseline Results

Manh Hung Nguyen , Lisheng Sun-Hosoya , Nathan Grinsztajn , Isabelle Guyon
IJCNN 2022 - International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8
Conference papers hal-03740118v1
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Entropy Regularized Reinforcement Learning with Cascading Networks

Riccardo Della Vecchia , Alena Shilova , Philippe Preux , Riad Akrour
[Research Report] 7003, Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille. 2022, pp.16
Reports hal-03793130v1
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From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits

Dorian Baudry , Patrick Saux , Odalric-Ambrym Maillard
NeurIPS 2021 - 35th International Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
Conference papers hal-03421252v2

On Elimination Strategies for Bandit Fixed-Confidence Identification

Andrea Tirinzoni , Rémy Degenne
NeurIPS 2022 - 36th Conference on Neural Information Processing System, Nov 2022, New Orleans, United States
Conference papers hal-03830692v1
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Self-Imitation Advantage Learning

Johan Ferret , Olivier Pietquin , Matthieu Geist
AAMAS 2021 - 20th International Conference on Autonomous Agents and Multiagent Systems, May 2021, Londres / Virtual, United Kingdom
Conference papers hal-03159815v1

Generalization in Mean Field Games by Learning Master Policies

Sarah Perrin , Mathieu Laurière , Julien Pérolat , Romuald Élie , Matthieu Geist , et al.
2021
Preprints, Working Papers, ... hal-03416251v1
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Spectral bandits

Tomáš Kocák , Rémi Munos , Branislav Kveton , Shipra Agrawal , Michal Valko
Journal of Machine Learning Research, 2020
Journal articles hal-03084249v1
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Safe and Efficient Reinforcement Learning for Behavioural Planning in Autonomous Driving

Edouard Leurent
Computer Science [cs]. Université de Lille, 2020. English. ⟨NNT : ⟩
Theses tel-03035705v1
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HIGhER: Improving instruction following with Hindsight Generation for Experience Replay

Geoffrey Cideron , Mathieu Seurin , Florian Strub , Olivier Pietquin
ADPRL 2020 - IEEE SSCI Conference on Adaptive Dynamic Programming and Reinforcement Learning, Dec 2020, Camberra / Virtual, Australia
Conference papers hal-03123981v1
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CopyCAT: Taking Control of Neural Policies with Constant Attacks

Léonard Hussenot , Matthieu Geist , Olivier Pietquin
AAMAS 2020 - 19th International Conference on Autonomous Agents and Multi-Agent Systems, May 2020, Virtual, New Zealand
Conference papers hal-03162124v1
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Optimal Strategies for Graph-Structured Bandits

Hassan Saber , Pierre Ménard , Odalric-Ambrym Maillard
2020
Preprints, Working Papers, ... hal-02891139v2
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Covariance-adapting algorithm for semi-bandits with application to sparse outcomes

Pierre Perrault , Vianney Perchet , Michal Valko
Conference on Learning Theory, 2020, Graz, Austria
Conference papers hal-02876102v1
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A Machine of Few Words Interactive Speaker Recognition with Reinforcement Learning

Mathieu Seurin , Florian Strub , Philippe Preux , Olivier Pietquin
Conference of the International Speech Communication Association (INTERSPEECH), Oct 2020, Shanghai, China. ⟨10.21437/Interspeech.2020-2892⟩
Conference papers hal-03123999v1
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Adaptive multi-fidelity optimization with fast learning rates

Côme Fiegel , Victor Gabillon , Michal Valko
International Conference on Artificial Intelligence and Statistics, 2020, Palermo, Italy
Conference papers hal-03288879v1
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Episodic reinforcement learning in finite MDPs: Minimax lower bounds revisited

Omar Darwiche Domingues , Pierre Ménard , Emilie Kaufmann , Michal Valko
Algorithmic Learning Theory, Mar 2021, Paris / Virtual, France
Conference papers hal-03289004v1
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Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

Sein Minn , Jill-Jênn Vie , Koh Takeuchi , Hisashi Kashima , Feida Zhu
Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2022, Vancouver, Canada. pp.12810-12818, ⟨10.1609/aaai.v36i11.21560⟩
Conference papers hal-03895625v1
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Farm-gym: A modular reinforcement learning platform for stochastic agronomic games

Odalric-Ambrym Maillard , Timothée Mathieu , Debabrota Basu
AIAFS 2023 - Artificial Intelligence for Agriculture and Food Systems, Feb 2023, Wahington DC, United States
Conference papers hal-03960683v1
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SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning

Hannes Eriksson , Debabrota Basu , Mina Alibeigi , Christos Dimitrakakis
UAI 2022- Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Aug 2022, Eindhoven, Netherlands. pp.631-640
Conference papers hal-03150823v2
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Risk-aware linear bandits with convex loss

Patrick Saux , Odalric-Ambrym Maillard
European Workshop on Reinforcement Learning, Sep 2022, Milan, Italy
Conference papers hal-03776680v1
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Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge

Reda Ouhamma , Odalric Maillard , Vianney Perchet
NeurIPS 2021 - 35th International Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada
Conference papers hal-03410901v1
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Near-Optimal Collaborative Learning in Bandits

Clémence Réda , Sattar Vakili , Emilie Kaufmann
NeurIPS 2022 - 36th Conference on Neural Information Processing System, Dec 2022, New Orleans, United States
Conference papers hal-03825099v1
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Risk-aware linear bandits with convex loss

Patrick Saux , Odalric-Ambrym Maillard
International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2023, Valencia, Spain
Conference papers hal-04044440v1