陈建宇2020年获美国加州大学伯克利分校博士学位，师从Masayoshi Tomizuka教授，2015年获清华大学学士学位。他的研究领域包括强化学习、控制、机器人学和自动驾驶技术，研究应用主要集中在机器人系统，包括自动驾驶和机械臂等。
强化学习
控制
机器人学
自动驾驶
福布斯中国30位30岁以下精英（科学榜，2021年）
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
