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ORCIDJianyu Chen 0002
Person information
- affiliation: Tsinghua University, Institute for Interdisciplinary Information Sciences (IIIS), Beijing, China
- affiliation (PhD 2020): University of California at Berkeley, Berkeley, CA, USA
Other persons with the same name
- Jianyu Chen (aka: Jian-Yu Chen) — disambiguation page
- Jianyu Chen 0001
![[0000-0002-4850-676X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4850-676X")
— Northwestern Polytechnical University, Xi'an, China (and 1 more) - Jianyu Chen 0003 — Second Institute of Oceanography (SIO), Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou, China (and 1 more)
- Jianyu Chen 0004 — Beijing Institute of Technology, Beijing, China
- Jianyu Chen 0005 — University of Tokyo, Graduate School of Frontier Sciences, Tokyo, Japan
- Jianyu Chen 0006 — Tongji University School of Economics and Management, Shanghai, China
- Jianyu Chen 0007 — Sichuan Tourism University, Department of Economics and Management, Chengdu, China
- Jianyu Chen 0008 — Wuhan University, National Engineering Research Center for Multimedia Software (NERCMS), Wuhan, China
- Jianyu Chen 0009 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China
- Jianyu Chen 0010 — Nankai University, Key Laboratory of Intelligent Robotics, Tianjin, China
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2020 – today
- 2025
[j11]Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems. IEEE Trans. Evol. Comput. 29(2): 555-569 (2025)- [j10]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2327-2341 (2025) - [c43]Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen:
MARGE: Improving Math Reasoning with Guided Exploration. ICML 2025 - [c42]Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen:
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. ICML 2025 - [c41]Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen:
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent. ICML 2025 - [c40]Yanjiang Guo, Jianke Zhang, Xiaoyu Chen, Xiang Ji, Yen-Jen Wang, Yucheng Hu, Jianyu Chen:
Improving Vision-Language-Action Model with Online Reinforcement Learning. ICRA 2025: 15665-15672 - [i47]Yanjiang Guo, Jianke Zhang, Xiaoyu Chen, Xiang Ji, Yen-Jen Wang, Yucheng Hu, Jianyu Chen:
Improving Vision-Language-Action Model with Online Reinforcement Learning. CoRR abs/2501.16664 (2025) - [i46]Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen:
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent. CoRR abs/2501.18867 (2025) - [i45]Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen:
MARGE: Improving Math Reasoning for LLMs with Guided Exploration. CoRR abs/2505.12500 (2025) - [i44]Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian:
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models. CoRR abs/2507.23682 (2025) - [i43]Jianke Zhang, Yucheng Hu, Yanjiang Guo, Xiaoyu Chen, Yichen Liu, Wenna Chen, Chaochao Lu, Jianyu Chen:
UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning. CoRR abs/2510.10642 (2025) - 2024
- [j9]Yujie Yang, Yuhang Zhang, Wenjun Zou, Jianyu Chen, Yuming Yin, Shengbo Eben Li:
Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning. IEEE Trans. Autom. Control. 69(4): 2713-2720 (2024) - [j8]Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Yuming Yin, Jianyu Chen, Jingliang Duan:
Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate. IEEE Trans Autom. Sci. Eng. 21(3): 4129-4142 (2024) - [j7]Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn. Syst. 35(1): 466-478 (2024) - [c39]Yen-Jen Wang, Bike Zhang, Jianyu Chen, Koushil Sreenath:
Prompt a Robot to Walk with Large Language Models. CDC 2024: 1531-1538 - [c38]Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen:
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers. CoRL 2024: 933-946 - [c37]Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Jianyu Chen:
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment. IROS 2024: 12124-12131 - [c36]Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen:
Prediction with Action: Visual Policy Learning via Joint Denoising Process. NeurIPS 2024 - [c35]Xinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen:
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning. Robotics: Science and Systems 2024 - [i42]Xinyang Gu, Yen-Jen Wang, Jianyu Chen:
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer. CoRR abs/2404.05695 (2024) - [i41]Xinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen:
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning. CoRR abs/2408.14472 (2024) - [i40]Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen:
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers. CoRR abs/2410.05273 (2024) - [i39]Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen:
Prediction with Action: Visual Policy Learning via Joint Denoising Process. CoRR abs/2411.18179 (2024) - [i38]Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen:
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. CoRR abs/2412.14803 (2024) - 2023
- [j6]Hai Zhong, Yutaka Shimizu, Jianyu Chen:
Chance-Constrained Iterative Linear-Quadratic Stochastic Games. IEEE Robotics Autom. Lett. 8(1): 440-447 (2023) - [j5]Yujie Yang, Yuxuan Jiang, Yichen Liu, Jianyu Chen, Shengbo Eben Li:
Model-Free Safe Reinforcement Learning Through Neural Barrier Certificate. IEEE Robotics Autom. Lett. 8(3): 1295-1302 (2023) - [j4]Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen:
Decentralized Motor Skill Learning for Complex Robotic Systems. IEEE Robotics Autom. Lett. 8(9): 5791-5798 (2023) - [j3]Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma:
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5255-5267 (2023) - [c34]Yujie Yang, Yuxuan Jiang, Jianyu Chen, Shengbo Eben Li, Ziqing Gu, Yuming Yin, Qian Zhang, Kai Yu:
Belief State Actor-Critic Algorithm from Separation Principle for POMDP. ACC 2023: 2560-2567 - [c33]Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka:
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. ICRA 2023: 7169-7175 - [c32]Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao:
Towards Generalizable Reinforcement Learning for Trade Execution. IJCAI 2023: 4975-4983 - [i37]Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen:
Asking Before Action: Gather Information in Embodied Decision Making with Language Models. CoRR abs/2305.15695 (2023) - [i36]Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen:
Decentralized Motor Skill Learning for Complex Robotic Systems. CoRR abs/2306.17411 (2023) - [i35]Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Zheyuan Jiang, Jianyu Chen:
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment. CoRR abs/2307.00329 (2023) - [i34]Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao:
Towards Generalizable Reinforcement Learning for Trade Execution. CoRR abs/2307.11685 (2023) - [i33]Xiang Zhu, Zixuan Chen, Jianyu Chen:
Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations. CoRR abs/2309.08904 (2023) - [i32]Yen-Jen Wang, Bike Zhang, Jianyu Chen, Koushil Sreenath:
Prompt a Robot to Walk with Large Language Models. CoRR abs/2309.09969 (2023) - 2022
- [j2]Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka:
Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(6): 5068-5078 (2022) - [c31]Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning. CDC 2022: 115-122 - [c30]Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. CoRL 2022: 1146-1156 - [c29]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CVPR 2022: 14502-14511 - [c28]Xiaoyu Chen, Yao Mark Mu, Ping Luo, Shengbo Li, Jianyu Chen:
Flow-based Recurrent Belief State Learning for POMDPs. ICML 2022: 3444-3468 - [c27]Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo:
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. ICML 2022: 16043-16061 - [c26]Dongjie Yu, Haitong Ma, Sheng-bo Li, Jianyu Chen:
Reachability Constrained Reinforcement Learning. ICML 2022: 25636-25655 - [c25]Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Lingfeng Sun, Jianyu Chen, Masayoshi Tomizuka:
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. ICRA 2022: 721-727 - [c24]Xiang Zhu, Shucheng Kang, Jianyu Chen:
A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation. IROS 2022: 2476-2482 - [c23]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. L4DC 2022: 97-109 - [c22]Yujie Yang, Jianyu Chen, Shengbo Li:
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study. L4DC 2022: 330-341 - [c21]Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu:
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. NeurIPS 2022 - [c20]Zheyuan Jiang, Jingyue Gao, Jianyu Chen:
Unsupervised Skill Discovery via Recurrent Skill Training. NeurIPS 2022 - [c19]Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo:
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. NeurIPS 2022 - [i31]Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Zeroth-Order Actor-Critic. CoRR abs/2201.12518 (2022) - [i30]Hai Zhong, Yutaka Shimizu, Jianyu Chen:
Chance-Constrained Iterative Linear-Quadratic Stochastic Games. CoRR abs/2203.01222 (2022) - [i29]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CoRR abs/2203.12244 (2022) - [i28]Dongjie Yu, Haitong Ma, Shengbo Eben Li, Jianyu Chen:
Reachability Constrained Reinforcement Learning. CoRR abs/2205.07536 (2022) - [i27]Xiaoyu Chen, Yao Mu, Ping Luo, Shengbo Li, Jianyu Chen:
Flow-based Recurrent Belief State Learning for POMDPs. CoRR abs/2205.11051 (2022) - [i26]Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo:
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. CoRR abs/2206.08883 (2022) - [i25]Xiang Zhu, Shucheng Kang, Jianyu Chen:
A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation. CoRR abs/2207.13438 (2022) - [i24]Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng:
Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning. CoRR abs/2209.04854 (2022) - [i23]Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka:
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. CoRR abs/2210.00350 (2022) - [i22]Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu:
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. CoRR abs/2210.04017 (2022) - [i21]Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo:
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. CoRR abs/2210.04209 (2022) - [i20]Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen:
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate. CoRR abs/2210.07553 (2022) - [i19]Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. CoRR abs/2212.01509 (2022) - [i18]Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu:
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. CoRR abs/2212.12735 (2022) - 2021
- [c18]Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen:
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CDC 2021: 4694-4700 - [c17]Jinning Li, Liting Sun, Jianyu Chen, Masayoshi Tomizuka, Wei Zhan:
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. ICRA 2021: 2660-2666 - [c16]Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng:
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. IROS 2021: 4552-4559 - [c15]Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning. IROS 2021: 5801-5808 - [c14]Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng:
Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty. ITSC 2021: 586-592 - [c13]Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. IV 2021: 193-199 - [c12]Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao:
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS 2021: 9493-9505 - [i17]Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen:
Steadily Learn to Drive with Virtual Memory. CoRR abs/2102.08072 (2021) - [i16]Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. CoRR abs/2102.08539 (2021) - [i15]Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng:
Mixed Policy Gradient. CoRR abs/2102.11513 (2021) - [i14]Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng:
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. CoRR abs/2103.01556 (2021) - [i13]Haitong Ma, Yang Guan, Shengbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen:
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety. CoRR abs/2105.10682 (2021) - [i12]Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning. CoRR abs/2108.06533 (2021) - [i11]Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. CoRR abs/2108.11623 (2021) - [i10]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. CoRR abs/2111.07695 (2021) - [i9]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. CoRR abs/2111.12953 (2021) - 2020
- [c11]Jianyu Chen, Zhuo Xu, Masayoshi Tomizuka:
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning. IROS 2020: 1999-2006 - [i8]Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka:
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning. CoRR abs/2001.08726 (2020) - [i7]Jianyu Chen, Zhuo Xu, Masayoshi Tomizuka:
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning. CoRR abs/2003.12464 (2020) - [i6]Zhuo Xu, Jianyu Chen, Masayoshi Tomizuka:
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving. CoRR abs/2005.03076 (2020) - [i5]Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen:
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CoRR abs/2012.10716 (2020)
2010 – 2019
- 2019
- [j1]Jianyu Chen, Wei Zhan, Masayoshi Tomizuka:
Autonomous Driving Motion Planning With Constrained Iterative LQR. IEEE Trans. Intell. Veh. 4(2): 244-254 (2019) - [c10]Chen Tang, Jianyu Chen, Masayoshi Tomizuka:
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. ICRA 2019: 3846-3852 - [c9]Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety. IROS 2019: 2884-2890 - [c8]Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Model-free Deep Reinforcement Learning for Urban Autonomous Driving. ITSC 2019: 2765-2771 - [i4]Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety. CoRR abs/1903.00640 (2019) - [i3]Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Model-free Deep Reinforcement Learning for Urban Autonomous Driving. CoRR abs/1904.09503 (2019) - [i2]Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng:
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. CoRR abs/1906.02815 (2019) - [i1]Chen Tang, Jianyu Chen, Masayoshi Tomizuka:
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. CoRR abs/1911.04597 (2019) - 2018
- [c7]Jianyu Chen, Changliu Liu, Masayoshi Tomizuka:
FOAD: Fast Optimization-based Autonomous Driving Motion Planner. ACC 2018: 4725-4732 - [c6]Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng:
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. ITSC 2018: 1441-1446 - [c5]Jianyu Chen, Zining Wang, Masayoshi Tomizuka:
Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors. Intelligent Vehicles Symposium 2018: 1239-1244 - [c4]Jianyu Chen, Chen Tang, Long Xin, Shengbo Eben Li, Masayoshi Tomizuka:
Continuous Decision Making for On-road Autonomous Driving under Uncertain and Interactive Environments. Intelligent Vehicles Symposium 2018: 1651-1658 - [c3]Bodi Yuan, Jianyu Chen, Weidong Zhang, Hung-Shuo Tai, Sara McMains:
Iterative Cross Learning on Noisy Labels. WACV 2018: 757-765 - 2017
- [c2]Jianyu Chen, Wei Zhan, Masayoshi Tomizuka:
Constrained iterative LQR for on-road autonomous driving motion planning. ITSC 2017: 1-7 - [c1]Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka:
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. Intelligent Vehicles Symposium 2017: 632-639
Coauthor Index
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