视觉与机器人

世界模型

面向环境建模、时序预测、仿真规划、具身智能和自动驾驶的世界模型方法与应用。

2025-11-18 至 2025-11-18 共收录 2 篇信号源：cs.AI, cs.LG, cs.CV, cs.RO, cs.MA

1. 模型式强化学习 2 篇

2511.06854 2025-11-18 cs.LG stat.ML 50%

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning

Jiexi Liu, Meng Cao, Songcan Chen

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG

Comments Accepted by AAAI 2026

2511.04534 2025-11-18 cs.LG physics.ao-ph physics.comp-ph 50%

Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics

Jonas E. Katona, Emily K. de Jong, Nipun Gunawardena

机构 * Department of Applied & Computational Mathematics（应用与计算数学系）； Yale University（耶鲁大学）； Atmospheric, Earth, & Energy Division（大气、地球与能源部门）； Lawrence Livermore National Laboratory（劳伦斯利弗莫尔国家实验室）

专题命中模型式强化学习：latent dynamics(abstract)；分类 cs.LG

Comments Accepted at the NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences (ML4PS). 12 pages, 3 figures, 2 tables. LLNL-CONF-2010541