Python-based framework makes climate dynamics more approachable for students and researchers

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...
IEEE

Iterative Learning Control for Closed-Loop Systems with Actuator Saturation using Alternating Projection

Abstract: Iterative learning control (ILC) is typically applied in practice combined with a feedback controller for time-domain stability. In this closed-loop design with actuator constraints, ...
IEEE

Wavelet OFDM Wireless Communication System for Autonomous Underwater Vehicles Using Loop-Shaped Antennas in Underwater Environments

Abstract: The manuscript introduces a radio wave-based wireless communication system tailored for Autonomous Underwater Vehicles (AUVs), optimized for underwater deployment. Initial experiments to ...
GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
GitHub

Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

The main motivation of RAGatouille is simple: bridging the gap between state-of-the-art research and alchemical RAG pipeline practices. RAG is complex, and there are many moving parts. To get the best ...