Chen Tang - RankMe

59 papers A* 7A 4B 1C 2Misc 1Journal 40Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning. CoRR Jiaheng Hu, Jay Shim, Chen Tang, Yoonchang Sung, Bo Liu, Peter Stone, Roberto Martin Martin
2025	J	`jnl`	Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. IEEE Trans. Control. Syst. Technol. Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan
2025	J	`jnl`	ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion. CoRR Zichao Hu, Chen Tang, Michael J. Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas
2025	A*	`conf`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. AAAI Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025	J	`jnl`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. Annu. Rev. Control. Robotics Auton. Syst. Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2025	A*	`conf`	Residual-MPPI: Online Policy Customization for Continuous Control. ICLR Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2025	J	`jnl`	SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation. CoRR Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone
2025	J	`jnl`	Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play. CoRR Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone
2025	A*	`conf`	WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving. ICML 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
2024	J	`jnl`	BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. IEEE Robotics Autom. Lett. Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay. CoRR Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. CoRR Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone
2024	J	`jnl`	Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka
2024	A*	`conf`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2024	J	`jnl`	Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. CoRR Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. IEEE Robotics Autom. Lett. Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. CoRR Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan
2024	—	`conf`	Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. ECCV (29) Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. CoRR Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
2024	A	`conf`	Pre-training on Synthetic Driving Data for Trajectory Prediction. IROS Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2024	A	`conf`	Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. AAMAS Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. RLJ Yuxin Chen, Chen Tang, Thomas Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	Residual-MPPI: Online Policy Customization for Continuous Control. CoRR Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2024	J	`jnl`	Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. IEEE Robotics Autom. Lett. Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
2024	J	`jnl`	WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning. CoRR Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan
2023	J	`jnl`	Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. CoRR Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing. CoRR Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka
2023	J	`jnl`	Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. CoRR Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. IEEE Robotics Autom. Lett. Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2023	J	`jnl`	Pre-training on Synthetic Driving Data for Trajectory Prediction. CoRR Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. CoRR Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan
2023	A*	`conf`	Residual Q-Learning: Offline and Online Policy Customization without Value. NeurIPS Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Residual Q-Learning: Offline and Online Policy Customization without Value. CoRR Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Skill-Critic: Refining Learned Skills for Reinforcement Learning. CoRR Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
2022	—	`—`	Designing Explainable Autonomous Driving System for Trustworthy Interaction Chen Tang
2022	A	`conf`	Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. IROS Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan
2022	J	`jnl`	Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. CoRR Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan
2022	J	`jnl`	Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. CoRR Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
2022	J	`jnl`	Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. IEEE Robotics Autom. Lett. Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
2022	A	`conf`	Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction. IROS Chen Tang, Wei Zhan, Masayoshi Tomizuka
2022	J	`jnl`	Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction. CoRR Chen Tang, Wei Zhan, Masayoshi Tomizuka
2022	J	`jnl`	Outracing Human Racers with Model-based Autonomous Racing. CoRR Ce Hao, Chen Tang, Eric Bergkvist, Catherine Weaver, Liting Sun, Wei Zhan, Masayoshi Tomizuka
2022	J	`jnl`	PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. CoRR Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan
2022	—	`conf`	PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. ECCV (39) Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan
2021	Misc	`conf`	Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. CoRL Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
2021	J	`jnl`	Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. CoRR Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan
2021	A*	`conf`	Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. NeurIPS Chen Tang, Wei Zhan, Masayoshi Tomizuka
2021	J	`jnl`	Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. CoRR Chen Tang, Wei Zhan, Masayoshi Tomizuka
2021	J	`jnl`	Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. CoRR Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka
2020	C	`conf`	Application Specific System Identification for Model-Based Control in Self-Driving Cars. IV Julian M. Salt Ducaju, Chen Tang, Masayoshi Tomizuka, Ching-Yao Chan
2020	J	`jnl`	Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer. IEEE Trans. Intell. Transp. Syst. Chen Tang, Zhuo Xu, Masayoshi Tomizuka
2019	J	`jnl`	A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control. Sensors Ángel Cuenca, Wei Zhan, Julián Salt, José Alcaina, Chen Tang, Masayoshi Tomizuka
2019	A*	`conf`	Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. ICRA Chen Tang, Jianyu Chen, Masayoshi Tomizuka
2019	J	`jnl`	Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. CoRR Chen Tang, Jianyu Chen, Masayoshi Tomizuka
2019	C	`conf`	Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. IV Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka
2018	B	`conf`	Continuous Decision Making for On-road Autonomous Driving under Uncertain and Interactive Environments. Intelligent Vehicles Symposium Jianyu Chen, Chen Tang, Long Xin, Shengbo Eben Li, Masayoshi Tomizuka
2018	—	`conf`	Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. ITSC Zhuo Xu, Chen Tang, Masayoshi Tomizuka
2018	J	`jnl`	Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. CoRR Zhuo Xu, Chen Tang, Masayoshi Tomizuka