Search Results for author: Zhixuan Fang

Found 3 papers, 0 papers with code

Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints

no code implementations15 Nov 2021 Qingsong Liu, Wenfei Wu, Longbo Huang, Zhixuan Fang

In this paper, we develop a novel virtual-queue-based online algorithm for online convex optimization (OCO) problems with long-term and time-varying constraints and conduct a performance analysis with respect to the dynamic regret and constraint violations.

Continuous Mean-Covariance Bandits

no code implementations NeurIPS 2021 Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang

To the best of our knowledge, this is the first work that considers option correlation in risk-aware bandits and explicitly quantifies how arbitrary covariance structures impact the learning performance.

Decision Making

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

no code implementations13 Feb 2018 Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

Different from existing methods that often ignore spatial information and rely heavily on accurate prediction, HRP captures both spatial and temporal dependencies using a divide-and-conquer structure with an embedded localized module.

reinforcement-learning

Cannot find the paper you are looking for? You can Submit a new open access paper.