From the 2 of 4 linked papers with an AI index.
4 papers
TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations
Zikang Xiong, Weixin Li, Zhouchonghao Wu +6
The paper proposes a method to train end-to-end autonomous driving policies without expert demonstrations by pretraining a policy via self‑play in a fast vectorized simulator and t…
TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
Zhouchonghao Wu, Akshay Rangesh, Weixin Li +5
TerraZero is a procedural driving simulator that enables large-scale, zero‑demonstration self‑play reinforcement learning for autonomous driving, achieving high simulation speed an…
FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model
Xiaoxu Xu, Hao Li, Jinhui Ye +7
Predictive foresight is important to intelligent embodied agents. Since the motor execution of a robot is intrinsically constrained by its visual perception of environmental geomet…
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
Xiang Lin, Weixin Li, Shu Guo +2
Pre-trained Vision-Language Models (VLMs), \textit{e.g.} CLIP, have become essential tools in multimodal transfer learning. However, fine-tuning VLMs in few-shot scenarios poses si…