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, Dr. Yazhe Niu and Dr. Chuming Li at 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] [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] [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.

CoRL Workshop of Learning Effective Abstractions for Planning (LEAP @ CoRL), 2023.

submitted to International Conference on Learning Representations (ICLR), 2024.

(Poster)

[Paper]

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 2023