Jianyu Chen

According to our database, Jianyu Chen authored at least 68 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models.

Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian

CoRR, July, 2025

MARGE: Improving Math Reasoning for LLMs with Guided Exploration.

Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen

CoRR, May, 2025

Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems.

Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng

IEEE Trans. Evol. Comput., April, 2025

Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning.

Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2025

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent.

Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen

CoRR, January, 2025

Improving Vision-Language-Action Model with Online Reinforcement Learning.

Yanjiang Guo, Jianke Zhang, Xiaoyu Chen, Xiang Ji, Yen-Jen Wang, Yucheng Hu, Jianyu Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate.

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Yuming Yin, Jianyu Chen, Jingliang Duan

IEEE Trans Autom. Sci. Eng., July, 2024

Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning.

Yujie Yang, Yuhang Zhang, Wenjun Zou, Jianyu Chen, Yuming Yin, Shengbo Eben Li

IEEE Trans. Autom. Control., April, 2024

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian.

Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen

CoRR, 2024

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer.

Xinyang Gu, Yen-Jen Wang, Jianyu Chen

CoRR, 2024

Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning.

Xinyang Gu, Yen-Jen Wang, Xiang Zhu, Chengming Shi, Yanjiang Guo, Yichen Liu, Jianyu Chen

Proceedings of the Robotics: Science and Systems XX, 2024

Prediction with Action: Visual Policy Learning via Joint Denoising Process.

Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment.

Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Jianyu Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers.

Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Prompt a Robot to Walk with Large Language Models.

Yen-Jen Wang, Bike Zhang, Jianyu Chen, Koushil Sreenath

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.

Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Decentralized Motor Skill Learning for Complex Robotic Systems.

Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen

IEEE Robotics Autom. Lett., September, 2023

Model-Free Safe Reinforcement Learning Through Neural Barrier Certificate.

Yujie Yang, Yuxuan Jiang, Yichen Liu, Jianyu Chen, Shengbo Eben Li

IEEE Robotics Autom. Lett., March, 2023

Chance-Constrained Iterative Linear-Quadratic Stochastic Games.

Hai Zhong, Yutaka Shimizu, Jianyu Chen

IEEE Robotics Autom. Lett., 2023

Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations.

Xiang Zhu, Zixuan Chen, Jianyu Chen

CoRR, 2023

DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment.

Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Zheyuan Jiang, Jianyu Chen

CoRR, 2023

Asking Before Action: Gather Information in Embodied Decision Making with Language Models.

Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen

CoRR, 2023

Towards Generalizable Reinforcement Learning for Trade Execution.

Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.

Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Belief State Actor-Critic Algorithm from Separation Principle for POMDP.

Yujie Yang, Yuxuan Jiang, Jianyu Chen, Shengbo Eben Li, Ziqing Gu, Yuming Yin, Qian Zhang, Kai Yu

Proceedings of the American Control Conference, 2023

2022

Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning.

Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka

IEEE Trans. Intell. Transp. Syst., 2022

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate.

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen

CoRR, 2022

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.

Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

CoRR, 2022

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.

Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu

CoRR, 2022

Zeroth-Order Actor-Critic.

Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng

CoRR, 2022

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.

Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Skill Discovery via Recurrent Skill Training.

Zheyuan Jiang, Jingyue Gao, Jianyu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context.

Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study.

Yujie Yang, Jianyu Chen, Shengbo Li

Proceedings of the Learning for Dynamics and Control Conference, 2022

Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation.

Xiang Zhu, Shucheng Kang, Jianyu Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss.

Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Lingfeng Sun, Jianyu Chen, Masayoshi Tomizuka

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Reachability Constrained Reinforcement Learning.

Dongjie Yu, Haitong Ma, Sheng-bo Li, Jianyu Chen

Proceedings of the International Conference on Machine Learning, 2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.

Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo

Proceedings of the International Conference on Machine Learning, 2022

Flow-based Recurrent Belief State Learning for POMDPs.

Xiaoyu Chen, Yao Mark Mu, Ping Luo, Shengbo Li, Jianyu Chen

Proceedings of the International Conference on Machine Learning, 2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection.

Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward.

Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

Proceedings of the Conference on Robot Learning, 2022

Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning.

Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning.

Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen

CoRR, 2021

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

Haitong Ma, Yang Guan, Shengbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen

CoRR, 2021

Mixed Policy Gradient.

Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng

CoRR, 2021

Steadily Learn to Drive with Virtual Memory.

Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen

CoRR, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.

Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.

Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.

Ziqing Gu, Yujie Yang, Jingliang Duan, Shengbo Eben Li, Jianyu Chen, Wenhan Cao, Sifa Zheng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function.

Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning.

Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning.

Jinning Li, Liting Sun, Jianyu Chen, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Model-Based Actor-Critic with Chance Constraint for Stochastic System.

Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving.

Zhuo Xu, Jianyu Chen, Masayoshi Tomizuka

CoRR, 2020

End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning.

Jianyu Chen, Zhuo Xu, Masayoshi Tomizuka

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Autonomous Driving Motion Planning With Constrained Iterative LQR.

Jianyu Chen, Wei Zhan, Masayoshi Tomizuka

IEEE Trans. Intell. Veh., 2019

Model-free Deep Reinforcement Learning for Urban Autonomous Driving.

Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety.

Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network.

Chen Tang, Jianyu Chen, Masayoshi Tomizuka

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Iterative Cross Learning on Noisy Labels.

Bodi Yuan, Jianyu Chen, Weidong Zhang, Hung-Shuo Tai, Sara McMains

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors.

Jianyu Chen, Zining Wang, Masayoshi Tomizuka

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Continuous Decision Making for On-road Autonomous Driving under Uncertain and Interactive Environments.

Jianyu Chen, Chen Tang, Long Xin, Shengbo Eben Li, Masayoshi Tomizuka

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks.

Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

FOAD: Fast Optimization-based Autonomous Driving Motion Planner.

Jianyu Chen, Changliu Liu, Masayoshi Tomizuka

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving.

Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Constrained iterative LQR for on-road autonomous driving motion planning.

Jianyu Chen, Wei Zhan, Masayoshi Tomizuka

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017