Udemy – Reinforcement Learning: AI Flight with Unity ML-Agents 2020-12

Udemy – Reinforcement Learning: AI Flight with Unity ML-Agents 2020-12 Downloadly IRSpace

Udemy – Reinforcement Learning: AI Flight with Unity ML-Agents 2020-12
Udemy – Reinforcement Learning: AI Flight with Unity ML-Agents 2020-12

Reinforcement Learning: AI Flight with Unity ML-Agents is a Unity Reinforcement Learning Platform course with flight training for aircraft. Reinforcement learning using ML-Agents is usually more intuitive than other machine learning methods, as you can view your neural network learning in a three-dimensional, instantaneous reward-based environment for appropriate behavior.

What you will learn in Reinforcement Learning: AI Flight with Unity ML-Agents:

  • How to install, run and train neural networks using Unity ML-Agents
  • Train aircraft operators to fly using reinforcing learning, especially PPO
  • Build an air racing game at Unity with AI-challenged rivals that are incredibly challenging.
  • Integration of neural networks trained in the game that can be developed as a cross-platform
  • Apply advanced machine learning (no need to write training algorithms)
  • Provide many possibilities for project customization

Course specifications

Publisher: Udemy
Instructors: Adam Kelly Immersive Limit
Language: German
Learning Level: Average
Number of Courses: 185
Duration: 14 hours and 20 minutes

Reinforcement Learning Course Topics: AI Flight with Unity ML Agents 2021-3:

Reinforcement Learning AI Flight with Unity ML-Agents Contents

Prerequisites course:

Intermediate programming skills (Unity uses C #)
A computer that can run Unity 2019.2 or above
Basic Unity skills (how to navigate and use the interface)
Optional: Basic Blender skills (how to navigate and use the interface)
Optional: Prior Machine Learning experience – It will help with understanding, but is not necessary

Pictures

Reinforcement Learning AI Flight with Unity ML-Agents

Sample film

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720

download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 1.96 GB

Size

8 GB