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cs.LG2024
Towards Unraveling and Improving Generalization in World Models
Qiaoyi Fang, Weiyu Du, Hang Wang +1
World models have recently emerged as a promising approach to reinforcement learning (RL), achieving state-of-the-art performance across a wide range of visual control tasks. This…
cs.RO2024
EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models
Hanchu Zhou, Edward Xie, Wei Shao +3
The growing interest in autonomous driving calls for realistic simulation platforms capable of accurately simulating cooperative perception process in realistic traffic scenarios.…
cs.RO2024
CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving
Dechen Gao, Shuangyu Cai, Hanchu Zhou +3
To safely navigate intricate real-world scenarios, autonomous vehicles must be able to adapt to diverse road conditions and anticipate future events. World model (WM) based reinfor…