Abstract: Reinforcement learning has increasingly showcased its potential in decision-making for the autonomous operation of urban rail transit. However, the inability of reinforcement learning to ...

Abstract: This article proposes a novel digital predistortion (DPD) model extraction technique for RF power amplifiers (PAs) using reinforcement learning (RL). Unlike conventional methods that extract ...

A modular deep learning tutorial framework driven by YAML configs. Create models, backbones, heads, losses, datasets, and training hyperparameters from configuration. Uses UV for environment ...

RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models via reinforcement learning. The 'inf' in RLinf stands for Infrastructure, highlighting its role ...