Chen Tang

According to our database, Chen Tang authored at least 34 papers between 2018 and 2025.

Collaborative distances:

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

2025

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing.

Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan

IEEE Trans. Control. Syst. Technol., July, 2025

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play.

Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone

CoRR, May, 2025

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.

Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

Annu. Rev. Control. Robotics Auton. Syst., 2025

Residual-MPPI: Online Policy Customization for Continuous Control.

Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving.

Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka

IEEE Trans. Intell. Transp. Syst., September, 2024

BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay.

Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., August, 2024

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving.

Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., August, 2024

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning.

Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2024

WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning.

Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan

CoRR, 2024

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention.

Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan

CoRR, 2024

Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning.

Yuxin Chen, Chen Tang, Thomas Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan

RLJ, 2024

Pre-training on Synthetic Driving Data for Trajectory Prediction.

Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

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

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration.

Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation.

Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Computer Vision - ECCV 2024, 2024

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization.

Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation.

Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., September, 2023

Skill-Critic: Refining Learned Skills for Reinforcement Learning.

Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing.

Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka

CoRR, 2023

Residual Q-Learning: Offline and Online Policy Customization without Value.

Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Designing Explainable Autonomous Driving System for Trustworthy Interaction

Chen Tang

PhD thesis, 2022

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning.

Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2022

Outracing Human Racers with Model-based Autonomous Racing.

Ce Hao, Chen Tang, Eric Bergkvist, Catherine Weaver, Liting Sun, Wei Zhan, Masayoshi Tomizuka

CoRR, 2022

Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction.

Chen Tang, Wei Zhan, Masayoshi Tomizuka

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

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction.

Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan

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

PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map.

Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling.

Chen Tang, Wei Zhan, Masayoshi Tomizuka

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

Dealing with the Unknown: Pessimistic Offline Reinforcement Learning.

Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer.

Chen Tang, Zhuo Xu, Masayoshi Tomizuka

IEEE Trans. Intell. Transp. Syst., 2020

Application Specific System Identification for Model-Based Control in Self-Driving Cars.

Julian M. Salt Ducaju, Chen Tang, Masayoshi Tomizuka, Ching-Yao Chan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control.

Ángel Cuenca, Wei Zhan, Julián Salt, José Alcaina, Chen Tang, Masayoshi Tomizuka

Sensors, 2019

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks.

Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 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

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

Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control.

Zhuo Xu, Chen Tang, Masayoshi Tomizuka

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