世界模型 - arXivDaily 专题

2511.10291 2025-11-14 cs.IT cs.LG cs.NI math.IT 74%

Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access

Aswin Arun, Christo Kurisummoottil Thomas, Rimalpudi Sarvendranath, Walid Saad

机构 * Department of Electrical Engineering, Indian Institute of Technology, Tirupati, Andhra Pradesh, India（电子工程系，印度理工学院，蒂鲁帕蒂，安得拉邦，印度）； Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA（电气与计算机工程系，沃思堡理工大学，沃思堡，马萨诸塞州，美国）； Department of Electrical and Computer Engineering, Virginia Tech, Alexandria, VA, USA（电气与计算机工程系，弗吉尼亚理工大学，亚历山大，弗吉尼亚州，美国）

专题命中模型式强化学习：model-based reinforcement learning(title,abstract)；分类 cs.LG

2509.23314 2025-11-14 cs.LG 68%

Two-Scale Latent Dynamics for Recurrent-Depth Transformers

Francesco Pappone, Donato Crisostomi, Emanuele Rodolà

机构 * Sapienza University of Rome（罗马萨皮恩扎大学）； PSTP Technoscience（PSTP科技公司）

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

1. 模型式强化学习 2 篇

Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access

Two-Scale Latent Dynamics for Recurrent-Depth Transformers