Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits

von Mu, Tong
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

HIGH CONFIDENCE GENERALIZATION FOR REINFORCEMENT LEARNING

von KOSTAS, JAMES
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

SOPE: Spectrum of Off-Policy Estimators

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

TOWARDS SAFE POLICY IMPROVEMENT FOR NON-STATIONARY MDPS

von Chandak, Yash
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

EVALUATING THE PERFORMANCE OF REINFORCEMENT LEARNING ALGORITHMS

von Jordan, Scott M.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 7 of 15 (2021)

EVALUATING THE PERFORMANCE OF REINFORCEMENT LEARNING ALGORITHMS

von Jordan, Scott M.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 7 of 15 (2021)

Off-Policy Evaluation for Action-Dependent Non-stationary Environments

von Chandak, Yash
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

Universal Off-Policy Evaluation

von Chandak, Yash
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)