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 ...

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 # ...

Abstract: Algorithms based on deep learning and the Bellman iteration serve as a basis for most state-of-the-art approaches in the field of reinforcement learning. Deep Q-learning stands out as the ...

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...

For this project, I was provided with a framework for building an intelligent agent using reinforcement learning in a pirate-themed grid environment. The starter code included a basic environment ...