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**SKIKDA** · 08-12-2023, 07:19 PM

Last updated 1/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.63 GB | Duration: 9h 57m

Teach airplanes to fly with Unity's Reinforcement Learning platform

What you'll learn
Learn how to install, run, and train neural networks with Unity ML-Agents
Train airplane agents to fly with Reinforcement Learning, specifically PPO
Create a full, playable airplane racing game in Unity with incredibly challenging AI opponents
Integrate trained neural networks in a game that can be built and deployed cross-platform
Utilize Machine Learning at a high level (no need to write training algorithms)
Lots of opportunities to customize the project and make it your own

Requirements
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 isn't necessary

Description
Interested in the intersection of video games and artificial intelligence? If so, you will love Unity ML-Agents.Reinforcement Learning with ML-Agents is naturally more intuitive than other machine learning approaches because you can watch your neural network learn in a real-time 3d environment based on rewards for good behavior. It's more fun because you can easily apply it to your own video game ideas rather than working with simplified example problems in a library like OpenAI Gym.In this course, we will create a complete game with incredibly challenging AI opponents.We'll start with an introduction to ML-Agents, including how to use and train the example content.Then, we'll use Blender to make custom assets for our game (you can skip that part if you just want to code).Next, we'll create a full environment for the airplane agents and train them to fly through checkpoints without crashing into obstacles.Finally, we'll take our trained agents and build a full game around them that you can play, including menus for level and difficulty selection.Important note 1: We DO NOT cover the foundations of deep learning or reinforcement learning in this course. We will focus on how to use ML-Agents, which abstracts the hard stuff and allows us to focus on building our training environment and crafting rewards.Important note 2: While the course was originally recorded with ML-Agents version 0.11, we have updated it for version 1.0.As you work through the course, you'll have plenty of opportunities to customize it and make it your own. At the end, you'll have a complete game that you can share with friends, add to your portfolio, or sell on a game marketplace.

Overview
Section 1: COURSE UPDATES

Lecture 1 ❗❗❗COURSE UPDATE - Unity ML-Agents v1.0

Lecture 2 A Note on Newer Versions

Lecture 3 1080p Videos

Section 2: [v1.0] Unity ML-Agents - Introduction & Setup

Lecture 4 Unity Hub & Anaconda

Lecture 5 New Project, Install ML-Agents, & Import Examples

Lecture 6 3D Ball Example

Lecture 7 Training 3D Ball Example

Section 3: [v1.0 & v0.11] Asset Creation in Blender

Lecture 8 Introduction

Lecture 9 Important Resources & Assets

Lecture 10 Low-Poly Terrain: Setup

Lecture 11 Low-Poly Terrain: Subdivide, Triangulate, & Sculpt

Lecture 12 Low-Poly Terrain: Sculpt the Racetrack

Lecture 13 Low-Poly Rocks: Medium Rock

Lecture 14 Low-Poly Rocks: Tall & Flat Rocks

Lecture 15 Low-Poly Rocks: Colliders

Lecture 16 Low-Poly Rocks: Export

Lecture 17 Checkpoint: First Piece

Lecture 18 Checkpoint: More Pieces, Collider, & Export

Lecture 19 Finish Line Checkpoint

Lecture 20 Low-Poly Airplane: Reference Images

Lecture 21 Low-Poly Airplane: Body (Part 1)

Lecture 22 Low-Poly Airplane: Body (Part 2)

Lecture 23 Low-Poly Airplane: Body (Part 3)

Lecture 24 Low-Poly Airplane: Wings

Lecture 25 Low-Poly Airplane: Horizontal Stabilizer

Lecture 26 Low-Poly Airplane: Landing Gear

Lecture 27 Low-Poly Airplane: Propeller

Lecture 28 Low-Poly Airplane: Export

Section 4: [v1.0] Project Setup & ML-Agents Installation

Lecture 29 ML-Agents v1.0 Note

Lecture 30 Important Resources & Assets

Lecture 31 New Project

Lecture 32 Project Clean-up & Install ML-Agents

Section 5: [v1.0 & v0.11] Desert Race Path Creation

Lecture 33 Import 3D Meshes

Lecture 34 Desert Terrain & Rock Prefabs

Lecture 35 [v0.11] Airplane Prefab

Lecture 36 [v1.0] Airplane Prefab

Lecture 37 Checkpoint Prefabs

Lecture 38 Desert Area Prefab

Lecture 39 Placing Rocks in the Desert Environment

Lecture 40 Complete Rock Placement

Lecture 41 Race Path

Lecture 42 Complete Race Path

Lecture 43 Boundaries

Section 6: [v1.0] Aircraft Area

Lecture 44 Variables

Lecture 45 Awake() & Start()

Lecture 46 ResetAgentPosition()

Lecture 47 Race Condition Fix

Lecture 48 AircraftArea Prefab Setup

Lecture 49 Rotate.cs

Section 7: [v1.0] Aircraft Agent & Aircraft Player

Lecture 50 AircraftAgent.cs: Variables

Lecture 51 AircraftAgent.cs: Initialize()

Lecture 52 AircraftAgent.cs: OnActionReceived()

Lecture 53 AircraftAgent.cs: ProcessMovement()

Lecture 54 AircraftPlayer.cs: Input System & Variables

Lecture 55 AircraftPlayer.cs: Heuristic()

Lecture 56 AircraftPlayer.cs: Airplane Prefab Setup

Lecture 57 AircraftPlayer: Input Bindings

Lecture 58 AircraftPlayer.cs: Follow Camera, DecisionRequester, & Test Flight

Lecture 59 AircraftAgent.cs: More Variables

Lecture 60 AircraftAgent.cs: Training Logic in Initialize() & OnActionReceived()

Lecture 61 AircraftAgent.cs: VectorToNextCheckpoint()

Lecture 62 AircraftAgent.cs: GotCheckpoint()

Lecture 63 AircraftAgent.cs: OnEpisodeBegin()

Lecture 64 AircraftAgent.cs: Freeze() & Thaw()

Lecture 65 AircraftAgent.cs: OnTriggerEnter()

Lecture 66 AircraftAgent.cs: OnCollisionEnter & ExplosionReset()

Lecture 67 AircraftAgent.cs: CollectObservations() & Heuristic()

Lecture 68 AircraftAgent: RayPerceptionSensor3D & AircraftAgent Components

Lecture 69 AircraftAgent: Behavior Parameters, AircraftAgent, & Explosion

Section 8: [v1.0] Training the Aircraft Agents

Lecture 70 New Training Scene

Lecture 71 Config Files

Lecture 72 Start Training

Lecture 73 Tensorboard & Training Progress

Lecture 74 Training Results

Lecture 75 Introducing Randomness

Lecture 76 Race Your ML-Agents

Section 9: [v1.0 & v0.11] Game Logic & Menus

Lecture 77 Introduction

Lecture 78 GameManager.cs: Enums & StateChangeHandler

Lecture 79 GameManager.cs: Accessors & Singleton Logic

Lecture 80 GameManager.cs: Level Loading Logic

Lecture 81 Main Menu Scene + Layout

Lecture 82 Main Menu Content

Lecture 83 MainMenuController.cs: Variables & Dropdown Lists

Lecture 84 MainMenuController.cs: Interaction Logic

Lecture 85 MainMenuController.cs: Hook Up UI, Build Manager, & Game Manager

Lecture 86 Create RaceManager & Other UI Scripts

Lecture 87 RaceManager.cs: Variables & Hook Ups

Lecture 88 RaceManager.cs: More Variables & Accessors

Lecture 89 RaceManager.cs: Awake() & Start()

Lecture 90 RaceManager.cs: Start() Continued

Lecture 91 RaceManager.cs: OnStateChange()

Lecture 92 RaceManager.cs: StartRace()

Lecture 93 RaceManager.cs: PauseInputPerformed()

Lecture 94 RaceManager.cs: FixedUpdate()

Lecture 95 RaceManager.cs: PlaceComparer()

Lecture 96 RaceManager.cs: GetAgentCheckpoint()

Lecture 97 RaceManager.cs: OnDestroy(), GetAgentLap(), GetAgentPlace()

Lecture 98 RaceManager.cs: GetAgentTime()

Lecture 99 Heads Up Display UI

Lecture 100 HUD Checkpoint Indicator

Lecture 101 HUDController.cs: Variables

Lecture 102 HUDController.cs: UI Update Functions

Lecture 103 HUDController.cs: Hook Up to UI

Lecture 104 Pause Menu

Lecture 105 PauseMenuController.cs

Lecture 106 Countdown UI & CountdownUIController.cs

Lecture 107 Gameover Screen & GameoverUI.cs

Lecture 108 Play Testing

Lecture 109 Pause Button Bugfix

Lecture 110 RaceManager Prefab

Lecture 111 Adding Randomness

Lecture 112 Post Processing

Lecture 113 Making the Main Menu More Interesting

Lecture 114 Creating a Snow Scene

Lecture 115 Flying in Snow

Lecture 116 Adding Water, Rocks, & Updating the Race Path

Lecture 117 Complete Snow Level & Add Snow to Levels List

Lecture 118 Fixing Snow Level Loading Bug

Lecture 119 Build & Play Complete Game

Intermediate software developers with an interest in AI in the Unity3d Game Engine,Developers that want to use Reinforcement Learning, but don't need to know the low level details,Game developers interested in adding neural network AI to their games

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