Practical Open-Loop Optimistic Planning

von Leurent, Edouard
Veröffentlicht in ECML PKDD (4. : 2019 : Würzburg) Machine learning and knowledge discovery in databases ; Part 3 (2020)

IMED-RL: Regret optimal learning of ergodic Markov decision processes

von Pesquerel, Fabien
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 34 of 50 (2023)

LEARNING MULTIPLE MARKOV CHAINS VIA ADAPTIVE ALLOCATION

von Talebi, Mohammad Sadegh
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits

von Baudry, Dorian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits

von Ouhamma, Reda
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Indexed Minimum Empirical Divergence for Unimodal Bandits

von SABER, Hassan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Stochastic bandits with groups of similar arms.

von Pesquerel, Fabien
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

SUB-SAMPLING FOR EFFICIENT NON-PARAMETRIC BANDIT EXPLORATION

von Baudry, Dorian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge

von Ouhamma, Reda
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

ROBUST-ADAPTIVE CONTROL OF LINEAR SYSTEMS: BEYOND QUADRATIC COSTS

von Leurent, Edouard
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 5 of 27 (2021)

TIGHTENING EXPLORATION IN UPPER CONFIDENCE REINFORCEMENT LEARNING

von Bourel, Hippolyte
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

Routine Bandits: Minimizing Regret on Recurring Problems

von Saber, Hassan
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 1: Research Track (2021)

REGRET BOUNDS FOR LEARNING STATE REPRESENTATIONS IN REINFORCEMENT LEARNING

von Ortner, Ronald
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)