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: 1,428 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 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | using UnityEditor;
using Unity.MLAgents.Integrations.Match3;
namespace Unity.MLAgents.Editor
{
[CustomEditor(typeof(Match3SensorComponent), editorForChildClasses: true)]
[CanEditMultipleObjects]
internal class Match3SensorComponentEditor : UnityEditor.Editor
{
public override void OnInspectorGUI()
{
var so = serializedObject;
so.Update();
var component = (Match3SensorComponent)target;
var board = component.GetComponent<AbstractBoard>();
if (board == null)
{
EditorGUILayout.HelpBox("You must provide an implementation of an AbstractBoard.", MessageType.Warning);
return;
}
// Drawing the RenderTextureComponent
EditorGUI.BeginChangeCheck();
EditorGUI.BeginDisabledGroup(!EditorUtilities.CanUpdateModelProperties());
{
EditorGUILayout.PropertyField(so.FindProperty("m_SensorName"), true);
EditorGUILayout.PropertyField(so.FindProperty("m_ObservationType"), true);
}
EditorGUI.EndDisabledGroup();
var requireSensorUpdate = EditorGUI.EndChangeCheck();
so.ApplyModifiedProperties();
if (requireSensorUpdate)
{
UpdateSensor();
}
}
void UpdateSensor()
{
}
}
}
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