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Open the root folder in Unity. Then, navigate to Assets/Dodgeball/Scenes/TitleScreen.unity, open it,
and hit the play button to play against pre-trained agents. You can also build this scene (along with
the Elimination.unity and CaptureTheFlag.unity scenes) into a game build and play from there.
Opening the "root" folder in Unity? Please explain what this is.. for example is it:
a) open /home/xxxx/Desktop/Unity/ml-agents/ml-agents-dodgeball-env/ as a project? - does not work, results in too many errors to document.
b) open /home/xxxx/Desktop/Unity/ml-agents/ml-agents-dodgeball-env/Assets/Dodgeball/Scenes/TitleScreen.unity as a scene? - does not work either.
The promise of the tools available in Unity are immense and I look forward to using it it a
significant tool environment for some of my projects. I am not new to Machine Learning but
I am very new to Unity. Can you please provide a more detailed installation guide that may be
suitable for an Unity novice.
Cheers
Howard
The text was updated successfully, but these errors were encountered:
Thanks for the follow up.
Got it working by experimentation - trial and error - not great but with a
limited knowledge such as I have, it was the most effective approach to
take.
Cheers
Howard
Dodgeball issues:
Env:
Linux Manjaro 21.1
Unity Hub 2.4.5
Unity Editor 2020.3.24f1 (LTS)
ML Agents 2.1.0-exp.1
ML Agents Extensions 0.5.0-preview
Git installs:
/home/xxxxx/Desktop/Unity/ml-agents/
/home/xxxx/Desktop/Unity/ml-agents/com.unity.ml-agents/
/home/xxxx/Desktop/Unity/ml-agents/com.unity.ml-agents.extensions/
/home/xxxx/Desktop/Unity/ml-agents/ml-agents-dodgeball-env/
Unity Projects currently working:
/home/xxxx/Desktop/Unity/ml-agents/com.unity.ml-agents/Project/Assets/ML-Agents/
Examples successfully installed into project and run in inference mode - no issues.
Instructions for the Dodgeball example environment followed (https://github.com/Unity-Technologies/ml-agents-dodgeball-env):
To open this repository, you will need to install the Unity editor version 2020.2.6 or later.
Clone the dodgeball-env branch of this repository by running:
git clone https://github.com/Unity-Technologies/ml-agents-dodgeball-env.git
Open the root folder in Unity. Then, navigate to Assets/Dodgeball/Scenes/TitleScreen.unity, open it,
and hit the play button to play against pre-trained agents. You can also build this scene (along with
the Elimination.unity and CaptureTheFlag.unity scenes) into a game build and play from there.
Opening the "root" folder in Unity? Please explain what this is.. for example is it:
a) open /home/xxxx/Desktop/Unity/ml-agents/ml-agents-dodgeball-env/ as a project? - does not work, results in too many errors to document.
b) open /home/xxxx/Desktop/Unity/ml-agents/ml-agents-dodgeball-env/Assets/Dodgeball/Scenes/TitleScreen.unity as a scene? - does not work either.
The promise of the tools available in Unity are immense and I look forward to using it it a
significant tool environment for some of my projects. I am not new to Machine Learning but
I am very new to Unity. Can you please provide a more detailed installation guide that may be
suitable for an Unity novice.
Cheers
Howard
The text was updated successfully, but these errors were encountered: