Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ilhan, Ercument"'
Autor:
Black, William, Manlove, Alexander, Pennington, Jack, Marchini, Andrea, Ilhan, Ercument, Markeviciute, Vilda
For users navigating travel e-commerce websites, the process of researching products and making a purchase often results in intricate browsing patterns that span numerous sessions over an extended period of time. The resulting clickstream data chroni
Externí odkaz:
http://arxiv.org/abs/2409.12972
Publikováno v:
Proceedings of the 17th ACM Conference on Recommender Systems, 2023, pp. 426-429
This paper presents AdaptEx, a self-service contextual bandit platform widely used at Expedia Group, that leverages multi-armed bandit algorithms to personalize user experiences at scale. AdaptEx considers the unique context of each visitor to select
Externí odkaz:
http://arxiv.org/abs/2308.08650
Action advising is a peer-to-peer knowledge exchange technique built on the teacher-student paradigm to alleviate the sample inefficiency problem in deep reinforcement learning. Recently proposed student-initiated approaches have obtained promising r
Externí odkaz:
http://arxiv.org/abs/2104.08441
Deep Reinforcement Learning (RL) techniques can benefit greatly from leveraging prior experience, which can be either self-generated or acquired from other entities. Action advising is a framework that provides a flexible way to transfer such knowled
Externí odkaz:
http://arxiv.org/abs/2104.08440
Action advising is a budget-constrained knowledge exchange mechanism between teacher-student peers that can help tackle exploration and sample inefficiency problems in deep reinforcement learning (RL). Most recently, student-initiated techniques that
Externí odkaz:
http://arxiv.org/abs/2010.00381
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.