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Jianyu Chen

PI(July 2021 to present)
Special-term Research Fellow、Assistant


Jianyu Chen is an assistant professor of the Institute of Interdisciplinary Information Sciences at Tsinghua University. He obtained his bachelor's degree from Tsinghua University and his doctor's degree from the University of California, Berkeley, under the supervision of Professor Masayoshi Tomizuka. He is working in the cross fields of robotics, reinforcement learning, control and autonomous driving. His research goal is to build advanced robotic systems with high performance and high intelligence. He has published more than 40 papers in flagship international conferences and journals in the fields of robotics and artificial intelligence, and some of the papers have been selected as best paper finalists for L4DC 2022, IEEE IV 2021 and IFAC MECC 2021.

Personal honor: 

2021 Forbes China 30 under 30 (Science List)

Research Direction


Reinforcement learning


Autonomous driving

Research topic

AI-Safe and High Performance Intelligent General Robotics Systems



Open positions

Research Direction:

Artificial Intelligence and Robotics: Reinforcement Learning, Robotics, Machine Learning, Computer Vision, and other related areas.


1. Responsible for theoretical research, algorithm or system development in the above-mentioned related fields and directions.

2. Publish academic achievements or innovative research results in the above-mentioned related fields.

Required Qualification:

1. Have a background in Computer Science, Electronics, Automation, Software, Physics or other related fields, and strong academic capabilities.

2. Possess excellent foundational knowledge and programming skills (Python, Linux, C++, etc.) in the relevant field.

3. Have actual work experience or project participation experience in related research fields.

4. Able to conduct independent research work and have high academic goals and pursuits.

5. Priority will be given to those who have published influential academic works at home and abroad.

Please send your CV:


We are actively recruiting Postdocs, Engineers, PhDs, Masters and RAs, please drop me an email with your resume via

2022-12: 1 papers accpeted to RAL!

2022-11: 1 papers accpeted to RAL and one paper accepted to TNNLS!

2022-09: 3 papers accpeted to NeurIPS 2022 and one paper accepted to CoRL 2022!

2022-07: One paper received best paper finalist in L4DC 2022 and one paper accpeted to CDC 2022!

2022-06: One paper accepted to IROS 2022!

2022-05: 3 papers accepted to ICML 2022!

2022-04: One paper accepted to TNNLS!

2022-03: 2 papers accepted to L4DC 2022!

2022-01: One paper accepted to ICRA 2022!


1. Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen,Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning,2022 Learning for Dynamics and Control Conference(L4DC), 2022

2. Dongjie Yu, Haitong Ma, Shengbo Eben Li,Jianyu Chen,Reachability Constrained Reinforcement Learning,2022 International Conference on Machine Learning (ICML), 2022

3. Xiaoyu Chen, Yao Mark Mu, Ping Luo, Shengbo Eben Li, Jianyu Chen,Flow-based Recurrent Belief State Learning for POMDPs, 2022 International Conference on Machine Learning  (ICML), 2022

4. Xiang Zhu, Shucheng Kang, Jianyu Chen,A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation, 2022  International Conference on Intelligent Robots and Systems (IROS) ,2022

5. Zheyuan Jiang, Jingyue Gao, Jianyu Chen,Unsupervised Skill Discovery via Recurrent Skill Training, 2022 Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2022

6. Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi,Jianyu Chen,Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward, 2022 Conference on Robot Learning (CoRL), 2022

7. Hai Zhong, Yutaka Shimizu, Jianyu Chen,Chance-Constrained Iterative Linear-Quadratic Stochastic Games, 2022 Robotics and Automation Letter (RA-L), 2022

8. WenhanCao,JianyuChen,JingliangDuan,Shengbo EbenLi,YaoLyu,ZiqingGu,YuhangZhang, Reinforced Optimal Estimator, 2021 MECC

9. Haitong Ma, Jianyu Chen,Shengbo Eben, Ziyu Lin,Yang Guan, Yangang Ren, Sifa Zheng, 2021 International Conference on Intelligent Robots and Systems (IROS) ,2021

10. Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan, Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning, 2021 International Conference on Intelligent Robots and Systems (IROS) ,2021

11. Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka, Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning, 2021 International Conference on Intelligent Robots and Systems (IROS) ,2021