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

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

Description

Reinforcement Learning: AI Flight with Unity ML-Agents is a training course for the Unity reinforcement learning platform with flight training to Hopimas. Reinforcement learning using ML-Agents is usually more intuitive than other machine learning methods, because you can see your neural networks learning in a 3D environment, in real time based on rewards for appropriate behavior.

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

  • How to install, run and train neural networks using Unity ML-Agents
  • Training aircraft operators to fly using reinforcement learning, especially PPO
  • Build an airplane racing game in Unity with incredibly challenging AI opponents.
  • Integrating game-trained neural networks that can be developed cross-platform
  • Apply machine learning at an advanced level (without the need to write training algorithms)
  • Providing many possibilities for project customization

Course details

Publisher: Udemy
Instructors: Adam Kelly Immersive Limit
English language
Education level: Intermediate
Number of courses: 185
Duration: 14 hours and 20 minutes

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

Course prerequisites:

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 video

Installation guide

After Extract, view 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

Password file(s): www.downloadly.ir

Size

8 GB

4.1/5 – (3441 points)

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