Selected Publications

Found 6 results
Filters: Author is Ruihao Zhu  [Clear All Filters]
a. Statistical Learning in Operations
Cheung W.C, Simchi-Levi D, Zhu R.  2020.  Hedging the Drift: Learning to Optimize under Non-Stationarity. Management Science—Special Issue on Data-Driven Prescriptive Analytics.
Cheung W.C, Simchi-Levi D., Zhu R.  2020.  Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.
Cheung W.C, Simchi-Levi D, Zhu R.  2019.  Learning to Optimize under Non-Stationarity. AISTATS 2019.
Mao W, Zhang K, Zhu R, Simchi-Levi D, Basar T.  2021.  Is Model-Free Learning Nearly Optimal for Non-Stationary RL? ICML 2021.
Simchi-Levi D, Sun R, Wu MXiao, Zhu R.  2022.  Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. Management Science.
Cheung W. C., Simchi-Levi D, Zhu R.  2023.  Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Management Science.