Ruonan Jia

Master Student

Tsinghua University
Beijing, China

Reinforcement Learning

Email  /  Github  /  CV


Biography

I received my master degree in 2022 from Department of Automation, Tsinghua University, under the supervision of Prof. Xiu Li. I obtained my B.Eng. degree in Electrical Engineering and Automation from Shanghai University in 2019.

I have been fortunate to closely work with Prof. Junge Zhang at Institute of Automation, CAS, and Xiyao Wang at University of Maryland, College Park. I was also fortunate to be an internship at OpenDILab @ Shanghai AI Lab.

My research interests lie in machine learning and deep reinforcement learning (RL), especially model-based RL. I maintain a webpage named awesome-model-based-RL for continually collecting related resources, and all contributions are welcomed. My long-term goal is to make RL agents more efficient and more robust.
Collaboration is warmly welcomed!

Publications

            

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.

Chuming Li*, Ruonan Jia*, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang. (* equal contribution)

European Conference on Artificial Intelligence (ECAI), 2023.

(Oral)

[Paper] [Code] [Page]

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.

Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang.

International Conference on Machine Learning (ICML), 2023.

(Poster)

[Paper] [Code] [Page]

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang.

International Conference on Learning Representations (ICLR), 2024.

NeurIPS Workshop of Generalization in Planning (GenPlan @ NeurIPS), 2023.

(Poster)

[Paper] [Code] [Page]

Consistency Regularization for Ensemble Model Based Reinforcement Learning.

Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li.

The Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2021.

(Oral)

[Paper]

Honors and Awards

Excellent Comprehensive Scholarship, Tsinghua University, 2021

Outstanding Graduate of Shanghai, Shanghai Municipal Education Commission, 2019

National Scholarship, 2019

Services

© RnJia 2024