‪Hao Liang‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	10	10
h-index	2	2
i10-index	0	0

0

6

3

202320245 5

Co-authors

Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
Yingru LiThe Chinese University of Hong Kong, Shenzhen, ChinaVerified email at link.cuhk.edu.cn
Ziniu LiThe Chinese University of Hong Kong, ShenzhenVerified email at link.cuhk.edu.cn
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Wenqiang PuResearch Scientist, Shenzhen Research Institute of Big DataVerified email at cuhk.edu.cn

Hao Liang

Hao Liang

Other namesH. Liang

The Chinese University of Hong Kong, Shenzhen

Verified email at link.cuhk.edu.cn

Reinforcement learning Multi-armed bandit


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bridging distributional and risk-sensitive reinforcement learning with provable regret bounds H Liang, ZQ Luo arXiv preprint arXiv:2210.14051, 2022	6	2022
Regret bounds for risk-sensitive reinforcement learning with lipschitz dynamic risk measures H Liang, Z Luo International Conference on Artificial Intelligence and Statistics, 1774-1782, 2024	3	2024
A distribution optimization framework for confidence bounds of risk measures H Liang, Z Luo International Conference on Machine Learning, 20677-20705, 2023	1	2023
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games Y Li, L Liu, W Pu, H Liang, ZQ Luo arXiv preprint arXiv:2402.09456, 2024		2024
Model-based Distributional Reinforcement Learning for Risk-sensitive Control H Liang, ZQ Luo NeurIPS 2021 Ecological Theory of RL Workshop, 2021		2021
Efficient Exploration by HyperDQN in Deep Reinforcement Learning Z Li, Y Li, H Liang, T Zhang Reinforcement Learning for Real Life Workshop @ ICML 2021, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–6