Follow
Jianyu Chen
Title
Cited by
Cited by
Year
Model-free deep reinforcement learning for urban autonomous driving
J Chen, B Yuan, M Tomizuka
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2765-2771, 2019
3082019
Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning
J Chen, SE Li, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems 23 (6), 5068-5078, 2021
2082021
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
L Xin, P Wang, CY Chan, J Chen, SE Li, B Cheng
2018 21st International Conference on Intelligent Transportation Systems …, 2018
1762018
Autonomous Driving Motion Planning With Constrained Iterative LQR
J Chen, W Zhan, M Tomizuka
IEEE Transactions on Intelligent Vehicles 4 (2), 244-254, 2019
1402019
Deep imitation learning for autonomous driving in generic urban scenarios with enhanced safety
J Chen, B Yuan, M Tomizuka
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
1362019
Constrained iterative lqr for on-road autonomous driving motion planning
J Chen, W Zhan, M Tomizuka
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
912017
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving
W Zhan, J Chen, CY Chan, C Liu, M Tomizuka
2017 IEEE Intelligent Vehicles Symposium (IV), 632-639, 2017
702017
Model-based constrained reinforcement learning using generalized control barrier function
H Ma, J Chen, S Eben, Z Lin, Y Guan, Y Ren, S Zheng
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
612021
Deep hierarchical reinforcement learning for autonomous driving with distinct behaviors
J Chen, Z Wang, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 1239-1244, 2018
522018
Iterative cross learning on noisy labels
B Yuan, J Chen, W Zhang, HS Tai, S McMains
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 757-765, 2018
462018
Reachability Constrained Reinforcement Learning
D Yu, H Ma, S Li, J Chen
International Conference on Machine Learning, 25636-25655, 2022
432022
Enable faster and smoother spatio-temporal trajectory planning for autonomous vehicles in constrained dynamic environment
L Xin, Y Kong, SE Li, J Chen, Y Guan, M Tomizuka, B Cheng
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2021
372021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
J Li, L Sun, J Chen, M Tomizuka, W Zhan
2021 IEEE International Conference on Robotics and Automation (ICRA), 2660-2666, 2021
332021
Foad: Fast optimization-based autonomous driving motion planner
J Chen, C Liu, M Tomizuka
2018 Annual American Control Conference (ACC), 4725-4732, 2018
332018
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
H Ma, C Liu, SE Li, S Zheng, J Chen
Learning for Dynamics and Control Conference, 97-109, 2022
322022
Continuous decision making for on-road autonomous driving under uncertain and interactive environments
J Chen, C Tang, L Xin, SE Li, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 1651-1658, 2018
252018
Scale-Equivalent Distillation for Semi-Supervised Object Detection
Q Guo, Y Mu, J Chen, T Wang, Y Yu, P Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
C Tang, J Chen, M Tomizuka
2019 International Conference on Robotics and Automation (ICRA), 3846-3852, 2019
192019
Model-free safe reinforcement learning through neural barrier certificate
Y Yang, Y Jiang, Y Liu, J Chen, SE Li
IEEE Robotics and Automation Letters 8 (3), 1295-1302, 2023
182023
Separated proportional-integral lagrangian for chance constrained reinforcement learning
B Peng, Y Mu, J Duan, Y Guan, SE Li, J Chen
2021 IEEE Intelligent Vehicles Symposium (IV), 193-199, 2021
182021
The system can't perform the operation now. Try again later.
Articles 1–20