GitHub

DDPG: Deep Deterministic Policy Gradients

The algorithm consists of two networks, an Actor and a Critic network, which approximate the policy and value functions of a reinforcement learning problem. The name DDPG, or Deep Deterministic Policy ...

I've reviewed every PDF editor out there - then I had ChatGPT build me a better one

I've reviewed every PDF editor out there - then I had ChatGPT build me a better one ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
GitHub

Learn machine learning by building all the fundamentals from scratch - with Python

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...
IEEE

Yue Cao

Vehicular Ad Hoc Networks,Electric Vehicles,Internet Of Vehicles,Roadside Units,Quality Of Experience,Secret Key,Time Slot,Waiting Time,Charging Time,Electric Vehicles Charging,Hash Function,Markov ...
IEEE

Haitao Zhao

Unmanned Aerial Vehicles,Internet Of Things,Federated Learning,Base Station,Optimization Problem,Additive Noise,Path Loss,Global Model,Convolutional Neural Network,Deep Reinforcement ...