Yuxiao Chen

According to our database, Yuxiao Chen authored at least 23 papers between 2022 and 2024.

Collaborative distances:

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

2024

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models.

Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone

CoRR, 2024

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

Zhiyu Huang, Xinshuo Weng, Maximilian Igl, Yuxiao Chen, Yulong Cao, Boris Ivanovic, Marco Pavone, Chen Lv

CoRR, 2024

YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning.

Yuan Zhuang, Yi Shen, Zhili Zhang, Yuxiao Chen, Fei Miao

CoRR, 2024

Promptable Closed-loop Traffic Simulation.

Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone

CoRR, 2024

Wolf: Captioning Everything with a World Summarization Framework.

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CoRR, 2024

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone

CoRR, 2024

Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion.

Zhiyu Huang, Zixu Zhang, Ameya Vaidya, Yuxiao Chen, Chen Lv, Jaime Fernández Fisac

CoRR, 2024

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.

Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv

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

2023

Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent.

Yuxiao Chen, Sander Tonkens, Marco Pavone

CoRR, 2023

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.

Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone

CoRR, 2023

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition.

Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.

Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime F. Fisac, Marco Pavone

IROS, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone

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

BITS: Bi-level Imitation for Traffic Simulation.

Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone

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

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone

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

Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving.

Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone

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

Tree-structured Policy Planning with Learned Behavior Models.

Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone

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

Language-Guided Traffic Simulation via Scene-Level Diffusion.

Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

Proceedings of the Conference on Robot Learning, 2023

Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation.

Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone

CoRR, 2022

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation.

Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning.

Yuxiao Chen, Boris Ivanovic, Marco Pavone

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

Distributionally Robust Decision Making Leveraging Conditional Distributions.

Yuxiao Chen, Jip Kim, James Anderson

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