Ruihao Zhu

Massachusetts Institute of Technology (MIT) - School of Engineering

MA

United States

SCHOLARLY PAPERS

5

DOWNLOADS

766

SSRN CITATIONS

3

CROSSREF CITATIONS

4

Ideas:
“  reinforcement learning, transfer learning, and data-driven optimization  ”

Scholarly Papers (5)

1.

Hedging the Drift: Learning to Optimize Under Non-Stationarity

Forthcoming at Management Science
Number of pages: 49 Posted: 30 Oct 2018 Last Revised: 26 Oct 2020
Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Massachusetts Institute of Technology (MIT) - School of Engineering and Massachusetts Institute of Technology (MIT) - School of Engineering
Downloads 290 (117,711)
Citation 5

Abstract:

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data-driven decision-making, non-stationary bandit optimization, revenue management

2.

Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism

Number of pages: 51 Posted: 17 Jun 2019 Last Revised: 30 Jun 2020
Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Massachusetts Institute of Technology (MIT) - School of Engineering and Massachusetts Institute of Technology (MIT) - School of Engineering
Downloads 152 (215,936)

Abstract:

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reinforcement learning, data-driven decision making, confidence widening

3.

Meta Dynamic Pricing: Transfer Learning Across Experiments

Number of pages: 56 Posted: 06 Mar 2019 Last Revised: 07 Jul 2020
University of Pennsylvania - The Wharton School, Massachusetts Institute of Technology (MIT) - School of Engineering and Massachusetts Institute of Technology (MIT) - School of Engineering
Downloads 151 (217,129)
Citation 1

Abstract:

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Thompson sampling, transfer learning, dynamic pricing, meta learning

4.

Calibrating Sales Forecast in a Pandemic Using Online Non-Parametric Regression Model

Number of pages: 32 Posted: 13 Aug 2020 Last Revised: 24 Sep 2020
Massachusetts Institute of Technology (MIT) - School of Engineering, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) - Institute for Data, Systems, and Society (IDSS) and Massachusetts Institute of Technology (MIT) - School of Engineering
Downloads 108 (280,086)

Abstract:

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sales forecast, COVID-19 pandemic, online learning, isotonic regression

5.

Joint Patient Selection and Scheduling under No-Shows: Theory and Application in Proton Therapy

HKS Working Paper No. RWP19-019
Number of pages: 32 Posted: 06 Jun 2019 Last Revised: 28 Jul 2020
Harvard University - Harvard Kennedy School (HKS), Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT) - School of Engineering and Harvard University - Massachusetts General Hospital
Downloads 65 (380,456)

Abstract:

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appointment scheduling, non-monotone submodular maximization, no-shows, index rules