Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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125 行
4.8 KiB

using System.Text;
using MLAgents;
using UnityEditor;
/// <summary>
/// Renders a custom UI for Demonstration Scriptable Object.
/// </summary>
[CustomEditor(typeof(Demonstration))]
[CanEditMultipleObjects]
public class DemonstrationEditor : Editor
{
SerializedProperty m_BrainParameters;
SerializedProperty m_DemoMetaData;
void OnEnable()
{
m_BrainParameters = serializedObject.FindProperty("brainParameters");
m_DemoMetaData = serializedObject.FindProperty("metaData");
}
/// <summary>
/// Renders Inspector UI for Demonstration metadata.
/// </summary>
void MakeMetaDataProperty(SerializedProperty property)
{
var nameProp = property.FindPropertyRelative("demonstrationName");
var expProp = property.FindPropertyRelative("numberExperiences");
var epiProp = property.FindPropertyRelative("numberEpisodes");
var rewProp = property.FindPropertyRelative("meanReward");
var nameLabel = nameProp.displayName + ": " + nameProp.stringValue;
var expLabel = expProp.displayName + ": " + expProp.intValue;
var epiLabel = epiProp.displayName + ": " + epiProp.intValue;
var rewLabel = rewProp.displayName + ": " + rewProp.floatValue;
EditorGUILayout.LabelField(nameLabel);
EditorGUILayout.LabelField(expLabel);
EditorGUILayout.LabelField(epiLabel);
EditorGUILayout.LabelField(rewLabel);
}
/// <summary>
/// Constructs label for action size array.
/// </summary>
static string BuildActionArrayLabel(SerializedProperty actionSizeProperty)
{
var actionSize = actionSizeProperty.arraySize;
var actionLabel = new StringBuilder("[ ");
for (var i = 0; i < actionSize; i++)
{
actionLabel.Append(actionSizeProperty.GetArrayElementAtIndex(i).intValue);
if (i < actionSize - 1)
{
actionLabel.Append(", ");
}
}
actionLabel.Append(" ]");
return actionLabel.ToString();
}
/// <summary>
/// Constructs complex label for each CameraResolution object.
/// An example of this could be `[ 84 X 84 ]`
/// for a single camera with 84 pixels height and width.
/// </summary>
private static string BuildCameraResolutionLabel(SerializedProperty cameraArray)
{
var numCameras = cameraArray.arraySize;
var cameraLabel = new StringBuilder("[ ");
for (var i = 0; i < numCameras; i++)
{
var camHeightPropName =
cameraArray.GetArrayElementAtIndex(i).FindPropertyRelative("height");
cameraLabel.Append(camHeightPropName.intValue);
cameraLabel.Append(" X ");
var camWidthPropName =
cameraArray.GetArrayElementAtIndex(i).FindPropertyRelative("width");
cameraLabel.Append(camWidthPropName.intValue);
if (i < numCameras - 1)
{
cameraLabel.Append(", ");
}
}
cameraLabel.Append(" ]");
return cameraLabel.ToString();
}
/// <summary>
/// Renders Inspector UI for Brain Parameters of Demonstration.
/// </summary>
void MakeBrainParametersProperty(SerializedProperty property)
{
var vecObsSizeProp = property.FindPropertyRelative("vectorObservationSize");
var numStackedProp = property.FindPropertyRelative("numStackedVectorObservations");
var actSizeProperty = property.FindPropertyRelative("vectorActionSize");
var camResProp = property.FindPropertyRelative("cameraResolutions");
var actSpaceTypeProp = property.FindPropertyRelative("vectorActionSpaceType");
var vecObsSizeLabel = vecObsSizeProp.displayName + ": " + vecObsSizeProp.intValue;
var numStackedLabel = numStackedProp.displayName + ": " + numStackedProp.intValue;
var vecActSizeLabel =
actSizeProperty.displayName + ": " + BuildActionArrayLabel(actSizeProperty);
var camResLabel = camResProp.displayName + ": " + BuildCameraResolutionLabel(camResProp);
var actSpaceTypeLabel = actSpaceTypeProp.displayName + ": " +
(SpaceType)actSpaceTypeProp.enumValueIndex;
EditorGUILayout.LabelField(vecObsSizeLabel);
EditorGUILayout.LabelField(numStackedLabel);
EditorGUILayout.LabelField(vecActSizeLabel);
EditorGUILayout.LabelField(camResLabel);
EditorGUILayout.LabelField(actSpaceTypeLabel);
}
public override void OnInspectorGUI()
{
serializedObject.Update();
EditorGUILayout.LabelField("Meta Data", EditorStyles.boldLabel);
MakeMetaDataProperty(m_DemoMetaData);
EditorGUILayout.LabelField("Brain Parameters", EditorStyles.boldLabel);
MakeBrainParametersProperty(m_BrainParameters);
serializedObject.ApplyModifiedProperties();
}
}