Abstract: Deploying feeder links (i.e., between satellites and ground stations) at Ka-band is becoming a popular option among satellite operators thanks to its consolidated technology maturity level.

It’s tough for aspiring makeup-lovers to get their name out there. But we're here to help you get started on becoming a beauty influencer.

Abstract: This paper presents a Deep Q-Learning (DQL) approach to enhance traffic rerouting in urban vehicular networks. The objective is to develop a dynamic route planning system that adapts to real ...

Load some OHLCV data (numpy array [T, 6] with columns [ts, open, high, low, close, volume]) and spin up the env: Data loader for Binance USDT-M futures (REST or websocket capture, incl. funding).

Deep learning is at the core of the large language models used by OpenAI's ChatGPT and Microsoft Copilot, for example. More specialized deep learning models have supported a wide range of scientific ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China Introduction: With the rapid development of 5G technology, Mobile Edge Computing (MEC) has become a ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

This project implements a Deep Q-Network (DQN) agent to play the Atari game Breakout using Stable Baselines3 and Gymnasium. Atari_Deep_Q_learning/ ├── train.py # Training script ├── play.py # ...