Pengxuan Yang
According to our database1,
Pengxuan Yang authored at least 10 papers
between 2024 and 2026.
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Bibliography
2026
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving.
CoRR, March, 2026
CoRR, March, 2026
Mimir: Hierarchical Goal-Driven Diffusion With Uncertainty Propagation for End-to-End Autonomous Driving.
IEEE Robotics Autom. Lett., February, 2026
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.
CoRR, December, 2025
TrajMoE: Scene-Adaptive Trajectory Planning with Mixture of Experts and Reinforcement Learning.
CoRR, December, 2025
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model.
CoRR, July, 2025
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving.
CoRR, 2024