Ruihao Zhu

Massachusetts Institute of Technology (MIT) - School of Engineering

MA

United States

SCHOLARLY PAPERS

4

DOWNLOADS

270

CITATIONS

3

Ideas:
“  Machine Learning, Reinforcement Learning, and Operations Research.  ”

Scholarly Papers (4)

1.

Hedging the Drift: Learning to Optimize Under Non-Stationarity

Number of pages: 39 Posted: 30 Oct 2018 Last Revised: 22 May 2019
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 115 (239,237)
Citation 3

Abstract:

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non-stationary optimization, data-driven decision-making, parameter-free algorithms

2.

Meta Dynamic Pricing: Learning Across Experiments

Number of pages: 50 Posted: 06 Mar 2019 Last Revised: 08 May 2019
University of Pennsylvania - The Wharton School, Massachusetts Institute of Technology (MIT) - School of Engineering and Massachusetts Institute of Technology (MIT) - School of Engineering
Downloads 74 (317,714)

Abstract:

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Thompson sampling, transfer learning, dynamic pricing, meta learning

3.

Reinforcement Learning Under Drift

Number of pages: 31 Posted: 17 Jun 2019
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 51 (383,028)

Abstract:

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non-stationary reinforcement learning, Markov decision process, parameter-free algorithm

4.

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

Number of pages: 31 Posted: 06 Jun 2019 Last Revised: 09 Jun 2019
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 30 (465,108)

Abstract:

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