GitHub

Wang-Xiaodong1899/ms-swift-RL

🍲 ms-swift is an official framework provided by the ModelScope community for fine-tuning and deploying large language models and multi-modal large models. It currently supports the training ...
GitHub

Hetero RL: Heterogeneous Reinforcement Learning

HeteroRL is a novel heterogeneous reinforcement learning framework designed for stable and scalable training of large language models (LLMs) in geographically distributed, resource-heterogeneous ...
IEEE

FUZZ-PPO: Fuzzy-Proximal Policy Optimisation for Enhanced Robotic Control in Dynamic Environments Using Meta-Reinforcement Learning

Abstract: This paper introduces Fuzzy-Proximal Policy Optimization (Fuzz-PPO), a unique hybrid control framework that improves robotic control in dynamic and unpredictable situations by utilising Meta ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
inforum

House committee considers bills limiting AI use in Minnesota

ST. PAUL — Artificial intelligence has been getting a lot of attention lately, both for its increasing abilities and its risks of exploitation. Its downfalls dominated the conversation Wednesday, Feb.
IEEE

A Reinforcement Learning Approach to Personalized Asthma Exacerbation Prediction Using Proximal Policy Optimization

Abstract: Asthma exacerbation prediction is critical for preventing severe respiratory complications and improving patient outcomes. Traditional predictive models rely on static machine learning ...