Reinforcement Learning: AI Flight with Unity ML-Agents - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Reinforcement Learning: AI Flight with Unity ML-Agents (/Thread-Reinforcement-Learning-AI-Flight-with-Unity-ML-Agents)

Reinforcement Learning: AI Flight with Unity ML-Agents - SKIKDA - 08-12-2023 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 Buy Premium Account From My Download Links & Get Fastest Speed. 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