自2025年初DeepSeek R1模型发布以来，强化学习（RL）在大型语言模型（LLM）的后训练范式中受到越来越多的关注，R1的突破性在于引入了可验证奖励强化学习（RLVR），通过构建数学题、代码谜题等自动验证环境，使模型在客观奖励信号的驱动下，自发地演化出与人类推理策略高度相似的思维方式。

Stock splits have seen a renaissance in recent years. Historically, forward stock splits suggest a company is firing on all cylinders. Both Netflix and ServiceNow have a record of consistent growth ...

Abstract: Parallel Split Learning (SL) allows resource-constrained devices that cannot participate in Federated Learning (FL) to train deep neural networks (NNs) by splitting the NN model into parts.

Excitement surrounding stock splits remains a key driver of investor optimism on Wall Street. The most logical candidate to be the blockbuster stock split of the year is a unique member of the ...

Abstract: This paper investigates the problem of finite-time stabilization and trajectory tracking control of a nonholonomic wheeled mobile robot (NWMR) under input constraints. Based on the ...