Introduction to multi-armed bandits

von Slivkins, Aleksandrs
Veröffentlicht 2019

Bandits with Knapsacks beyond the Worst Case

von Sankararaman, Karthik Abinav
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 28 of 36 (2022)

Bayesian incentive-compatible bandit exploration

von Mansour, Yishay
Veröffentlicht in Operations research (2020)

Beating Greedy for Approximating Reserve Prices in Multi-Unit VCG Auctions

von Derakhshan, Mahsa
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (32. : 2021 : Online) Thirty-second Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2021) ; Volume 2 of 4 (2021)

Incentivizing Combinatorial Bandit Exploration

von Hu, Xinyan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 48 of 50 (2023)

EFFICIENT CONTEXTUAL BANDITS WITH CONTINUOUS ACTIONS

von Majzoubi, Maryam
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

CONSTRAINED EPISODIC REINFORCEMENT LEARNING IN CONCAVE-CONVEX AND KNAPSACK SETTINGS

von Brantley, Kiante
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)