Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. - Zhuo Xu; Chen Tang 001; Masayoshi Tomizuka (ITSC, 2018)

Continuous Decision Making for On-road Autonomous Driving under Uncertain and Interactive Environments. - Jianyu Chen; Chen Tang 001; Long Xin; Shengbo Eben Li; Masayoshi Tomizuka (Intelligent Vehicles Symposium, 2018)

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. - Chen Tang 001; Jianyu Chen; Masayoshi Tomizuka (ICRA, 2019)

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. - Zhuo Xu; Haonan Chang; Chen Tang 001; Changliu Liu; Masayoshi Tomizuka (IV, 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 001; Masayoshi Tomizuka (Sensors, 2019)

Application Specific System Identification for Model-Based Control in Self-Driving Cars. - Julian M. Salt Ducaju; Chen Tang 001; Masayoshi Tomizuka; Ching-Yao Chan (IV, 2020)

Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer. - Chen Tang 001; Zhuo Xu; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2020)

Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. - Jinning Li 002; Chen Tang 001; Masayoshi Tomizuka; Wei Zhan (CoRL, 2021)

Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. - Chen Tang 001; Wei Zhan; Masayoshi Tomizuka (NeurIPS, 2021)

PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. - Chenfeng Xu; Tian Li; Chen Tang 001; Lingfeng Sun; Kurt Keutzer; Masayoshi Tomizuka; Alireza Fathi; Wei Zhan (ECCV (39), 2022)

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. - Lingfeng Sun; Chen Tang 001; Yaru Niu; Enna Sachdeva; Chiho Choi; Teruhisa Misu; Masayoshi Tomizuka; Wei Zhan (IROS, 2022)

Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction. - Chen Tang 001; Wei Zhan; Masayoshi Tomizuka (IROS, 2022)

Outracing Human Racers with Model-based Autonomous Racing. - Ce Hao; Chen Tang 001; Eric Bergkvist; Catherine Weaver; Liting Sun; Wei Zhan; Masayoshi Tomizuka (CoRR, 2022)

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. - Jinning Li 002; Chen Tang 001; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2022)

Designing Explainable Autonomous Driving System for Trustworthy Interaction - Chen Tang 001 (2022)

Residual Q-Learning: Offline and Online Policy Customization without Value. - Chenran Li; Chen Tang 001; Haruki Nishimura; Jean Mercat; Masayoshi Tomizuka; Wei Zhan (NeurIPS, 2023)

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing. - Shaoshu Su; Ce Hao; Catherine Weaver; Chen Tang 001; Wei Zhan; Masayoshi Tomizuka (CoRR, 2023)

Skill-Critic: Refining Learned Skills for Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (CoRR, 2023)

Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. - Wei-Jer Chang; Chen Tang 001; Chenran Li; Yeping Hu; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2023)

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. - Yuxin Chen; Chen Tang 001; Ran Tian; Chenran Li; Jinning Li 002; Masayoshi Tomizuka; Wei Zhan (AAMAS, 2024)

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. - Yixiao Wang; Chen Tang 001; Lingfeng Sun; Simone Rossi 001; Yichen Xie 002; Chensheng Peng; Thomas Hannagan; Stefano Sabatini; Nicola Poerio; Masayoshi Tomizuka; Wei Zhan (ECCV (29), 2024)

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. - Jinning Li 002; Xinyi Liu; Banghua Zhu; Jiantao Jiao; Masayoshi Tomizuka; Chen Tang 001; Wei Zhan (ICRA, 2024)

Pre-training on Synthetic Driving Data for Trajectory Prediction. - Yiheng Li; Seth Z. Zhao; Chenfeng Xu; Chen Tang 001; Chenran Li; Mingyu Ding; Masayoshi Tomizuka; Wei Zhan (IROS, 2024)

Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. - Yuxin Chen; Chen Tang 001; Thomas Tian; Chenran Li; Jinning Li 002; Masayoshi Tomizuka; Wei Zhan (RLJ, 2024)

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. - Yuxin Chen; Chen Tang 001; Chenran Li; Ran Tian; Peter Stone 001; Masayoshi Tomizuka; Wei Zhan (CoRR, 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 001; Mingyu Ding; Wei Zhan (CoRR, 2024)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. - Zhiyu Huang; Chen Tang 001; Chen Lv; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. - Catherine Weaver; Chen Tang 001; Ce Hao; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. - Chen Tang 001; Nishan Srishankar; Sujitha Martin; Masayoshi Tomizuka (IEEE Trans. Intell. Transp. Syst., 2024)

Residual-MPPI: Online Policy Customization for Continuous Control. - Pengcheng Wang 004; Chenran Li; Catherine Weaver; Kenta Kawamoto; Masayoshi Tomizuka; Chen Tang 001; Wei Zhan (ICLR, 2025)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. - Chen Tang 001; Ben Abbatematteo; Jiaheng Hu; Rohan Chandra; Roberto Martín-Martín; Peter Stone 001 (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. - Jiaxun Cui; Chen Tang 001; Jarrett Holtz; Janice Nguyen; Alessandro Gabriele Allievi; Hang Qiu 001; Peter Stone 001 (CoRR, 2025)

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. - Tommaso Benciolini; Chen Tang 001; Marion Leibold; Catherine Weaver; Masayoshi Tomizuka; Wei Zhan (IEEE Trans. Control. Syst. Technol., 2025)