2 papers
cs.LG2026
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Pengxuan Yang, Yupeng Zheng, Deheng Qian +11
We introduce DreamerAD, the first latent world model framework that enables efficient reinforcement learning for autonomous driving by compressing diffusion sampling from 100 steps…
cs.RO2025
SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones via Reinforcement Learning
Zichen Yan, Rui Huang, Lei He +2
Image-goal navigation (ImageNav) tasks a robot with autonomously exploring an unknown environment and reaching a location that visually matches a given target image. While prior wo…