autonomous driving 1mask padding optimization 1parallel reinforcement learning 1sampling efficiency 1simulation alignment 1
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cs.LG2026
On the Identifiability of Controlled World Models
Xiangteng Zhang, Yang Guan, Bo Zhang +3
World model serves as a promising tool to infer environment dynamics under high-dimensional observations and candidate actions. Recently, LeCun's JEPA provides a compelling framewo…
cs.LG2026
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving
Bonan Wang, Letian Tao, Bin Shuai +7
The paper introduces FAST, a synchronous parallel framework that improves sampling efficiency for deep reinforcement learning in autonomous driving by aligning parallel simulations…