2024 Winner(s)
- Matthew Zurek, University of Wisconsin-Madison
Winning material:
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Purpose of the Award
The Applied Probability Society seeks to identify and honor outstanding papers in the field of applied probability that are written primarily by a student. We define applied probability broadly, as any paper related to the modeling, analysis, and control of stochastic systems. The paper’s contribution may lie in the formulation of new mathematical models, in the development of new mathematical or computational methods, in the innovative application of existing methods, or in the opening of new application domains.
Application process:
Click here for more information.
Past Awardees
2024
Winner(s)
Matthew Zurek,
University of Wisconsin-Madison
Finalist
Feiyang Zhao,
University of Texas at Austin
George Yu,
Cornell University
Taha Ameen,
University of Illinois Urbana-Champaign