Donghao Ying

About Me

I am a PhD student in the IEOR department at UC Berkeley, advised by Prof. Javad Lavaei. Before, I studied mathematics at the University of Chinese Academy of Sciences.

My research interests include optimization, machine learning theory, and algorithmic game theory.

Here are links to my CV, LinkedIn, Google Scholar.

Conference Papers

- - Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities.
    - Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei.
    - The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

- - No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand.
    - Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
    - The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.

- - VMR2L: Virtual Machines Rescheduling Using Reinforcement Learning in Data Centers.
    - Xianzhong Ding*, Yunkai Zhang*, Binbin Chen, Donghao Ying, Tieying Zhang, Jian-jun Chen, Lei Zhang, Alberto Cerpa, Wan Du
    - The MlSys Workshop at Neurips, 2023.

- - Scalable Multi-Agent Reinforcement Learning with General Utilities.
    - Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei
    - American Control Conference (ACC), 2023.

- - Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes.
    - Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen.
    - The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.

- - A Dual Approach to Constrained Markov Decision Processes With Entropy Regularization.
    - Donghao Ying, Yuhao Ding and Javad Lavaei.
    - The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

Journal Articles

- - A Hitting Time Analysis for Stochastic Time-Varying Functions with Applications to Adversarial Attacks on Computation of Markov Decision Processes.
    - Ali Yekkehkhany, Han Feng, Donghao Ying, Javad Lavaei.
    - IEEE Transactions on Automatic Control, 2023.

- - Almost Envy-free Allocations of Unweighted Items.
    - Zhijie Zhang*, Donghao Ying*, Xiaoming Sun, and Jialin Zhang.
    - SCIENTIA SINICA Informationis, 2022.

Working Papers

- - Last-iterate Convergence in No-regret Learning: Games with Reference Effects Under Logit Demand.
- Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
- Preprint, 2023.

* denotes equal contribution.

Skills

Programming: Python, MATLAB, R.

Interests: Badminton, Table tennis.

Contact

Email: donghaoy AT berkeley DOT edu

Address: 4176 Etcheverry Hall, Berkeley, CA, 94720.

Google Sites

Report abuse