Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives

by CHEUNG WANG CHI
Published 2020

Bandits with Knapsacks: Advice on Time-Varying Demands

by Lyu, Lixing, Cheung, Wang Chi
Published 2023

Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting

by Zhong, Zixin, CHEUNG WANG CHI, Tan, Vincent VF
Published 2020

Hedging the Drift: Learning to Optimize under Non-Stationarity

by CHEUNG WANG CHI, Simchi-Levi, David, Zhu, Ruihao
Published 2020

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism

by CHEUNG WANG CHI, Simchi-Levi, David, Zhu, Ruihao
Published 2020

Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions

by Cheung, Wang Chi, Zhong, Zixin, Tan, Yan Fu
Published 2021

Multiobjective Stochastic Optimization: A Case of Real-Time Matching in Ride-Sourcing Markets

by LYU, Guodong, CHEUNG, Wang Chi, TEO, Chung-Piaw, WANG, Hai
Published 2024

Capacity allocation in flexible production networks: Theory and applications

by LYU, Guodong, CHEUNG, Wang-Chi, CHOU, Mabel C., TEO, Chung-Piaw, ZHENG, Zhichao, ZHONG, Yuanguang
Published 2019