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ORCIDChen Tang 0001
Person information
- affiliation: University of Texas at Austin, TX, USA
- affiliation (PhD 2022): University of California, Department of Mechanical Engineering, Berkeley, CA, USA
Other persons with the same name
- Chen Tang — disambiguation page
- Chen Tang 0002
![[0000-0002-1200-475X]](/https://anthro-https-dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1200-475X")
— University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
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2020 – today
- 2026
[i30]Jiaheng Hu, Jay Shim, Chen Tang, Yoonchang Sung, Bo Liu, Peter Stone, Roberto Martin Martin:
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning. CoRR abs/2603.11653 (2026)- [i29]Pengcheng Wang, Kaiwen Hong, Chensheng Peng, Katherine Driggs-Campbell, Masayoshi Tomizuka, Chenfeng Xu, Chen Tang:
DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors. CoRR abs/2604.25050 (2026) - 2025
- [j11]Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone:
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. Annu. Rev. Control. Robotics Auton. Syst. 8(1): 153-188 (2025) - [j10]Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan:
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. IEEE Trans. Control. Syst. Technol. 33(4): 1301-1316 (2025) - [c18]Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone:
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. AAAI 2025: 28698-28699 - [c17]Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Residual-MPPI: Online Policy Customization for Continuous Control. ICLR 2025 - [c16]Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan:
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving. ICML 2025 - [i28]Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone:
Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. CoRR abs/2505.18334 (2025) - [i27]Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone:
SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation. CoRR abs/2509.08757 (2025) - [i26]Zichao Hu, Chen Tang, Michael J. Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas:
ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion. CoRR abs/2509.17941 (2025) - 2024
- [j9]Yuxin Chen, Chen Tang, Thomas Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. RLJ 4: 1950-1964 (2024) - [j8]Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. IEEE Robotics Autom. Lett. 9(4): 3625-3632 (2024) - [j7]Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan:
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(8): 7023-7030 (2024) - [j6]Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. IEEE Robotics Autom. Lett. 9(8): 7302-7309 (2024) - [j5]Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka:
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(9): 10617-10635 (2024) - [c15]Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. AAMAS 2024: 2201-2203 - [c14]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. ECCV (29) 2024: 324-341 - [c13]Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA 2024: 7447-7454 - [c12]Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Pre-training on Synthetic Driving Data for Trajectory Prediction. IROS 2024: 5910-5917 - [i25]Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan:
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. CoRR abs/2401.15315 (2024) - [i24]Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay. CoRR abs/2402.14194 (2024) - [i23]Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan:
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. CoRR abs/2406.16258 (2024) - [i22]Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Residual-MPPI: Online Policy Customization for Continuous Control. CoRR abs/2407.00898 (2024) - [i21]Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan:
WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning. CoRR abs/2407.04281 (2024) - [i20]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. CoRR abs/2408.00766 (2024) - [i19]Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone:
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. CoRR abs/2408.03539 (2024) - 2023
- [j4]Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. IEEE Robotics Autom. Lett. 8(9): 5432-5439 (2023) - [c11]Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. NeurIPS 2023 - [i18]Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. CoRR abs/2303.13830 (2023) - [i17]Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing. CoRR abs/2305.07740 (2023) - [i16]Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
Skill-Critic: Refining Learned Skills for Reinforcement Learning. CoRR abs/2306.08388 (2023) - [i15]Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. CoRR abs/2306.09526 (2023) - [i14]Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR abs/2309.09408 (2023) - [i13]Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Pre-training on Synthetic Driving Data for Trajectory Prediction. CoRR abs/2309.10121 (2023) - [i12]Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. CoRR abs/2310.07218 (2023) - [i11]Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan:
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. CoRR abs/2311.01993 (2023) - 2022
- [b1]Chen Tang:
Designing Explainable Autonomous Driving System for Trustworthy Interaction. University of California, Berkeley, USA, 2022 - [j3]Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan:
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. IEEE Robotics Autom. Lett. 7(4): 10216-10223 (2022) - [c10]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. ECCV (39) 2022: 34-50 - [c9]Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction. IROS 2022: 11409-11415 - [c8]Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan:
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. IROS 2022: 13034-13041 - [i10]Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan:
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. CoRR abs/2203.15112 (2022) - [i9]Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction. CoRR abs/2204.08665 (2022) - [i8]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. CoRR abs/2204.10435 (2022) - [i7]Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan:
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. CoRR abs/2205.11790 (2022) - [i6]Ce Hao, Chen Tang, Eric Bergkvist, Catherine Weaver, Liting Sun, Wei Zhan, Masayoshi Tomizuka:
Outracing Human Racers with Model-based Autonomous Racing. CoRR abs/2211.09378 (2022) - 2021
- [c7]Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan:
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. CoRL 2021: 1455-1464 - [c6]Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. NeurIPS 2021: 8481-8494 - [i5]Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka:
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. CoRR abs/2102.11905 (2021) - [i4]Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan:
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. CoRR abs/2111.05440 (2021) - [i3]Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. CoRR abs/2112.00298 (2021) - 2020
- [j2]Chen Tang, Zhuo Xu, Masayoshi Tomizuka:
Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer. IEEE Trans. Intell. Transp. Syst. 21(9): 3961-3972 (2020) - [c5]Julian M. Salt Ducaju, Chen Tang, Masayoshi Tomizuka, Ching-Yao Chan:
Application Specific System Identification for Model-Based Control in Self-Driving Cars. IV 2020: 384-390
2010 – 2019
- 2019
- [j1]Ángel Cuenca, Wei Zhan, Julián Salt, José Alcaina, Chen Tang, Masayoshi Tomizuka:
A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control. Sensors 19(13): 2983 (2019) - [c4]Chen Tang, Jianyu Chen, Masayoshi Tomizuka:
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. ICRA 2019: 3846-3852 - [c3]Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka:
Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. IV 2019: 1400-1407 - [i2]Chen Tang, Jianyu Chen, Masayoshi Tomizuka:
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. CoRR abs/1911.04597 (2019) - 2018
- [c2]Zhuo Xu, Chen Tang, Masayoshi Tomizuka:
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. ITSC 2018: 2865-2871 - [c1]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 - [i1]Zhuo Xu, Chen Tang, Masayoshi Tomizuka:
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. CoRR abs/1812.03216 (2018)
Coauthor Index
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