If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...

Can an AI learn to play the perfect game of Snake? This video explores the capabilities of artificial intelligence in mastering the classic game, including the strategies and algorithms used in the ...

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 # ...

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 ...

Hands-On Computer Vision with TensorFlow 2 Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras This is the code repository for Hands-On Computer Vision with ...