11 papers
VLN-AVP: Zero-Shot Vision-Language Navigation with Hybrid Long-Short-Term Memory for Autonomous Valet Parking
Yijian Li, Xiangru Mu, Changze Li +7
Existing methods in Autonomous Valet Parking (AVP) typically rely on pre-built maps, which severely restricts their scalability to unseen environments and open-vocabulary targets.…
AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness
Yijian Li, Changze Li, Hantian Shi +4
Zero-shot vision-and-language navigation in continuous environments (VLN-CE) has recently become feasible with large vision-language models (VLMs). However, existing methods typica…
Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing
Miao Wang, Yuling Shi, Yijiang Li +8
Text-based role-playing models can imitate character styles, but often fail to capture scene atmosphere and evolving tension, which are crucial for immersive applications such as V…
CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL
Zhenyang Ni, Yijiang Li, Ruochen Jiao +7
Video generation models trained on heterogeneous data with likelihood-surrogate objectives can produce visually plausible rollouts that violate physical constraints in embodied man…
On-Policy Distillation with Best-of-N Teacher Rollout Selection
Ke Zhang, Yunjie Tian, Dongdi Zhao +4
On-policy distillation (OPD), which supervises a student on its own sampled trajectories, has emerged as a data-efficient post-training method for improving reasoning while avoidin…
REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
Changze Li, Zhe Chen, Shaoyu Chen +7
In recent years, autonomous parking has made significant advances, yet parking tasks still face challenges in extreme scenarios such as mechanical and dead-end parking slots, often…