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40 lines (40 loc) · 1.29 KB
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{
"name": "com.unity.ai.mlagents",
"displayName": "DOTS ML-Agents",
"version": "0.3.0-preview",
"unity": "2019.3",
"description": "Add interactivity to your game with ML-Agents trained using Deep Reinforcement Learning.",
"dependencies": {
"com.unity.barracuda": "3.0.0",
"com.unity.entities": "0.51.1-preview.21",
"com.unity.jobs": "0.50.0-preview.9",
"com.unity.mathematics": "1.2.5",
"com.unity.collections": "1.2.3"
},
"samples": [
{
"displayName": "3DBall",
"description": "A thousands platforms trying to balance a ball",
"createSeparatePackage": false,
"path": "Samples~/3DBall"
},
{
"displayName": "Basic",
"description": "Example of a MonoBehavior example integrated with the package",
"createSeparatePackage": false,
"path": "Samples~/Basic"
},
{
"displayName": "String Side Channel",
"description": "An example of how to create and register side channels for communication with Python",
"createSeparatePackage": false,
"path": "Samples~/StringSideChannel"
},
{
"displayName": "Push The Block",
"description": "An example of an Agent learning to push a block in a goal zone",
"createSeparatePackage": false,
"path": "Samples~/PushBlock"
}
]
}