Jiamin He

I'm a Ph.D. student in Computing Science at the University of Alberta, supervised by Martha White. My current research interests lie in artificial intelligence, particularly reinforcement learning.

Previously, I received my M.Sc. (Thesis) degree in Computing Science at the University of Alberta under the supervision of Rupam Mahmood. Before that, I also worked with Chongjie Zhang as a research intern.

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Loosely Consistent Emphatic Temporal-Difference Learning.
Jiamin He, Fengdi Che, Wan Yi, A. Rupam Mahmood.
Conference on Uncertainty in Artificial Intelligence (UAI), 2023.
paper | code

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration.
Lulu Zheng*, Jiarui Chen*, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang.
Conference on Neural Information Processing Systems (NeurIPS), 2021.
paper | code

The Emphatic Approach to Average-Reward Policy Evaluation.
Jiamin He, Wan Yi, A. Rupam Mahmood.
Deep Reinforcement Learning Workshop at NeurIPS, 2022.
paper

Consistent Emphatic Temporal-Difference Learning.
Jiamin He.
M.Sc. Thesis, University of Alberta, 2023.
details

Stolen from Jon Barron