Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
Abstract: This paper proposes a reinforcement learning (RL) based intelligent reflecting surface (IRS) incremental control algorithm for a mmWave time-varying multi-user multiple-input single-output ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...
We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...
This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforcement Learning for Real-Time Voltage Control (https://arxiv.o… ...
RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
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