A Provably Efficient Sample Collection Strategy for Reinforcement Learning

von Tarbouriech, Jean
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 10 of 36 (2022)

IMPROVED SAMPLE COMPLEXITY FOR INCREMENTAL AUTONOMOUS EXPLORATION IN MDPS

von Tarbouriech, Jean
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

NO-REGRET EXPLORATION IN GOAL-ORIENTED REINFORCEMENT LEARNING

von Tarbouriech, Jean
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

ACTIVE MODEL ESTIMATION IN MARKOV DECISION PROCESSES

von TARBOURIECH, JEAN
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)

Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

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

ADVERSARIAL ATTACKS ON LINEAR CONTEXTUAL BANDITS

von Garcelon, Evrard
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 18 of 27 (2021)