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Update about the state of the project: This project is based on Unity 2018.3 and no longer being actively maintained. Feel free to continue to use it as a learning resource or simply for inspiration. As always, you should upgrade to latest version of Unity and packages if you intend to start a project. Thanks for checking out this sample! This is a fully functional, first person multiplayer shoote
Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up Getting Started with the 3D Balance Ball Environment This tutorial walks through the end-to-end process of opening a ML-Agents toolkit example environment in Unity, building the Unity executable, training an Agent in it, and finally
Unity Data-Oriented Tech Stack Manual This manual covers the three main aspects of Unity's Data-Oriented Tech Stack: Entity-Component-System (ECS), C# Job System, and Burst. Table of contents Entity-Component-System overview C# Job System overview Burst overview Tutorials Examples Community Further information, including: Data-Oriented cheat sheet Data-Oriented reference Entity-Component-System ov
(latest release) (all releases) The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. We provide implementations (based on PyTorch) of state-of-the-art algorithms to enable game developers and hobbyists to easily train intelligent agents for 2D, 3D and VR/AR games. Researchers can
Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up
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