Resource of free step by step video how to guides to get you started with machine learning.
Sunday, April 21, 2024
Unreal Engine 5.3: Machine Learning Tutorial
Learning Agents is a plugin for Unreal Engine (UE) that enables the training of AI characters using machine learning (ML). In this tutorial, we will train a driving AI using the Learning Agents plugin. We will also add a line trace sensors and enable vehicle collision. This tutorial should able for beginners who want to experiment with machine learning. Project Download: https://www.patreon.com/posts/project-file-5-3-102753934 Tutorial Reference: https://dev.epicgames.com/community/learning/tutorials/qj2O/unreal-engine-learning-to-drive If you enjoyed this video, please give it a thumbs up and leave a comment below. Don’t forget to subscribe to my channel for more Unreal Engine tutorials. Thanks for watching! Intro: (0:00) Project Setup: (0:54) Spline Component: (6:14) Learning Agents Interactor : (11:30) Learning Agents Policy: (16:18) Learning Agents Trainer: (17:07) Learning Agents Manager: (23:41) Train Driving without Collision: (32:23) Prepare for Another Training: (41:02) Train Driving with Collision: (1:04:37)
Labels:
ai training,
Driving AI,
Interactor,
Learning Agents,
Learning Agents Manager,
Learning Agents Tutorial,
Line Trace Sensor,
Machine Learning,
Machine Learning Unreal Engine,
Unreal Engine
Published by Free artificial intelligence and machine learning video tutorial resource
Related video tutorials
Subscribe to:
Post Comments (Atom)
Most watched
-
Quick answer: Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k-token context — a used 24 GB card like the RTX 3090 is the minimu...
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
Inside TensorFlow: Summaries and TensorBoard [Collection] Take an inside look into the TensorFlow team’s own internal training sessions-...
-
Quick answer: For machine-learning work, buy an external SSD over a spinning hard drive, pick USB 3.2 Gen 2 (10 Gbps) or faster, and size f...
-
Quick answer: For an 8B model at Q4, local electricity costs roughly $0.05 per million output tokens — against about $0.53 per million ble...
-
Quick answer: Yes, for most budget builders: a used RTX 3090 is still the cheapest route to 24 GB of VRAM with full CUDA support. Capacity...
-
Quick answer: The cheapest path to serious local-AI VRAM is not one new flagship card — it is two used ones. A single RTX 5090 costs $1,999...
-
Quick answer: FLUX.1 dev needs about 10 GB of VRAM at Q4/NF4 quantization for 1024×1024 image generation, so a 12 GB GPU such as the GeFor...
-
Quick answer: DeepSeek V4 Flash is a Mixture-of-Experts model: all 284 billion parameters must be stored, so combined RAM plus VRAM — not ...
-
Hey everyone This is Ujjwal kapil B.tech 2nd year Ai and Ml In this video we covered one of the most important question "COLLEGE KAB O...
No comments:
Post a Comment