Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use AnnaMats/ppo-Pyramids-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use AnnaMats/ppo-Pyramids-Training with ml-agents:
mlagents-load-from-hf --repo-id="AnnaMats/ppo-Pyramids-Training" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
File size: 1,144 Bytes
05c9ac2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | using UnityEditor;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Editor
{
[CustomEditor(typeof(VectorSensorComponent), editorForChildClasses: true)]
[CanEditMultipleObjects]
internal class VectorSensorComponentEditor : UnityEditor.Editor
{
public override void OnInspectorGUI()
{
var so = serializedObject;
so.Update();
// Drawing the VectorSensorComponent
EditorGUI.BeginDisabledGroup(!EditorUtilities.CanUpdateModelProperties());
{
// These fields affect the sensor order or observation size,
// So can't be changed at runtime.
EditorGUILayout.PropertyField(so.FindProperty("m_SensorName"), true);
EditorGUILayout.PropertyField(so.FindProperty("m_ObservationSize"), true);
EditorGUILayout.PropertyField(so.FindProperty("m_ObservationType"), true);
EditorGUILayout.PropertyField(so.FindProperty("m_ObservationStacks"), true);
}
EditorGUI.EndDisabledGroup();
so.ApplyModifiedProperties();
}
}
}
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