Merge pull request #1494 from Unity-Technologies/release-v0.6

v0.6 Release

.gitignore

 /UnitySDK/Assets/AssetStoreTools*
 /UnitySDK/Assets/Plugins*
 /UnitySDK/Assets/Gizmos*
+/UnitySDK/Assets/Demonstrations*
 
 # Tensorflow Model Info
 /models
 /UnitySDK/Assets/ML-Agents/Plugins/Android*
 /UnitySDK/Assets/ML-Agents/Plugins/iOS*
 /UnitySDK/Assets/ML-Agents/Plugins/Computer*
-/UnitySDK/Assets/ML-Agents/Plugins/System*
+/UnitySDK/Assets/ML-Agents/Plugins/System.Numerics*
+/UnitySDK/Assets/ML-Agents/Plugins/System.ValueTuple*
 
 # Generated doc folders
 /docs/html

README.md

 * For more information, in addition to installation and usage instructions, see
   our [documentation home](docs/Readme.md).
 * If you are a researcher interested in a discussion of Unity as an AI platform, see a pre-print of our [reference paper on Unity and the ML-Agents Toolkit](https://arxiv.org/abs/1809.02627). Also, see below for instructions on citing this paper.
-* If you have used a version of the ML-Agents toolkit prior to v0.5, we strongly
+* If you have used an earlier version of the ML-Agents toolkit, we strongly
   recommend our [guide on migrating from earlier versions](docs/Migrating.md).
 
 ## Additional Resources
 [contribution guidelines](CONTRIBUTING.md) and
 [code of conduct](CODE_OF_CONDUCT.md).
 
-You can connect with us and the broader community
-through Unity Connect and GitHub:
+If you run into any problems using the ML-Agents toolkit,
+[submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
+make sure to include as much detail as possible.
+
+Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454). 
-* Join our
-  [Unity Machine Learning Channel](https://connect.unity.com/messages/c/035fba4f88400000)
-  to connect with others using the ML-Agents toolkit and Unity developers
-  enthusiastic about machine learning. We use that channel to surface updates
-  regarding the ML-Agents toolkit (and, more broadly, machine learning in
-  games).
-* If you run into any problems using the ML-Agents toolkit,
-  [submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
-  make sure to include as much detail as possible.
-* Your opinion matters a great deal to us. Only by hearing your thoughts on the Unity ML-Agents Toolkit can we continue to improve and grow. Please take a few minutes to [let us know about it](https://github.com/Unity-Technologies/ml-agents/issues/1454). 
 
 For any other questions or feedback, connect directly with the ML-Agents
 team at ml-agents@unity3d.com. 

UnitySDK/Assets/ML-Agents/Editor/BrainEditor.cs

-using System.Collections;
-using System.Collections.Generic;
-using UnityEngine;
+using UnityEngine;
+using UnityEditor;
-using UnityEditor;
-using System.Linq;
-/*
- This code is meant to modify the behavior of the inspector on Brain Components.
- Depending on the type of brain that is used, the available fields will be modified in the inspector accordingly.
-*/
+    /// <summary>
+    /// CustomEditor for the Brain base class. Defines the default Inspector view for a Brain.
+    /// Shows the BrainParameters of the Brain and expose a tool to deep copy BrainParameters
+    /// between brains.
+    /// </summary>
-    {
-        [SerializeField] bool _Foldout = true;
-
+    {        
-            Brain myBrain = (Brain) target;
-            SerializedObject serializedBrain = serializedObject;
-
-            if (myBrain.transform.parent == null)
-            {
-                EditorGUILayout.HelpBox(
-                    "A Brain GameObject must be a child of an Academy GameObject!",
-                    MessageType.Error);
-            }
-            else if (myBrain.transform.parent.GetComponent<Academy>() == null)
-            {
-                EditorGUILayout.HelpBox(
-                    "The Parent of a Brain must have an Academy Component attached to it!",
-                    MessageType.Error);
-            }
-
-            serializedBrain.Update();
-
-
-            _Foldout = EditorGUILayout.Foldout(_Foldout, "Brain Parameters");
-            int indentLevel = EditorGUI.indentLevel;
-            if (_Foldout)
-            {
-                EditorGUI.indentLevel++;
-                EditorGUILayout.LabelField("Vector Observation");
-                EditorGUI.indentLevel++;
-
-                SerializedProperty bpVectorObsSize =
-                    serializedBrain.FindProperty("brainParameters.vectorObservationSize");
-                EditorGUILayout.PropertyField(bpVectorObsSize, new GUIContent("Space Size",
-                    "Length of state " +
-                    "vector for brain (In Continuous state space)." +
-                    "Or number of possible values (in Discrete state space)."));
-
-
-                SerializedProperty bpNumStackedVectorObs =
-                    serializedBrain.FindProperty("brainParameters.numStackedVectorObservations");
-                EditorGUILayout.PropertyField(bpNumStackedVectorObs, new GUIContent(
-                    "Stacked Vectors", "Number of states that" +
-                                       " will be stacked before beeing fed to the neural network."));
-
-                EditorGUI.indentLevel--;
-                SerializedProperty bpCamResol =
-                    serializedBrain.FindProperty("brainParameters.cameraResolutions");
-                EditorGUILayout.PropertyField(bpCamResol, new GUIContent("Visual Observation",
-                    "Describes height, " +
-                    "width, and whether to greyscale visual observations for the Brain."), true);
-
-                EditorGUILayout.LabelField("Vector Action");
-                EditorGUI.indentLevel++;
-
-                SerializedProperty bpVectorActionType =
-                    serializedBrain.FindProperty("brainParameters.vectorActionSpaceType");
-                EditorGUILayout.PropertyField(bpVectorActionType, new GUIContent("Space Type",
-                    "Corresponds to whether state" +
-                    " vector contains a single integer (Discrete) " +
-                    "or a series of real-valued floats (Continuous)."));
-                if (bpVectorActionType.enumValueIndex == 1)
-                {
-                    //Continuous case :
-                    SerializedProperty bpVectorActionSize =
-                        serializedBrain.FindProperty("brainParameters.vectorActionSize");
-                    bpVectorActionSize.arraySize = 1;
-                    SerializedProperty continuousActionSize =
-                        bpVectorActionSize.GetArrayElementAtIndex(0);
-                    EditorGUILayout.PropertyField(continuousActionSize, new GUIContent(
-                        "Space Size", "Length of continuous action vector."));
-                    
-                }
-                else
-                {
-                    // Discrete case :
-                    SerializedProperty bpVectorActionSize =
-                        serializedBrain.FindProperty("brainParameters.vectorActionSize");
-                    bpVectorActionSize.arraySize = EditorGUILayout.IntField(
-                        "Branches Size", bpVectorActionSize.arraySize);
-                    EditorGUI.indentLevel++;
-                    for (int branchIndex = 0;
-                        branchIndex < bpVectorActionSize.arraySize;
-                        branchIndex++)
-                    {
-                        SerializedProperty branchActionSize =
-                            bpVectorActionSize.GetArrayElementAtIndex(branchIndex);
-                        EditorGUILayout.PropertyField(branchActionSize, new GUIContent(
-                            "Branch " + branchIndex+" Size", 
-                            "Number of possible actions for the branch number " + branchIndex+"."));
-                    }
-                    EditorGUI.indentLevel--;
-
-                }
-
-                try
-                {
-                    BrainParameters parameters = myBrain.brainParameters;
-                    int numberOfDescriptions = 0;
-                    if (parameters.vectorActionSpaceType == SpaceType.continuous)
-                        numberOfDescriptions = parameters.vectorActionSize[0];
-                    else
-                        numberOfDescriptions = parameters.vectorActionSize.Length;
-                    if (parameters.vectorActionDescriptions == null ||
-                        parameters.vectorActionDescriptions.Length != numberOfDescriptions)
-                        parameters.vectorActionDescriptions = new string[numberOfDescriptions];
-                }
-                catch
-                {
-
-                }
-
-                if (bpVectorActionType.enumValueIndex == 1)
-                {
-                    //Continuous case :
-                    SerializedProperty bpVectorActionDescription =
-                        serializedBrain.FindProperty("brainParameters.vectorActionDescriptions");
-                    EditorGUILayout.PropertyField(bpVectorActionDescription, new GUIContent(
-                        "Action Descriptions", "A list of strings used to name" +
-                                               " the available actions for the Brain."), true);
-                }
-                else
-                {
-                    // Discrete case :
-                    SerializedProperty bpVectorActionDescription =
-                        serializedBrain.FindProperty("brainParameters.vectorActionDescriptions");
-                    EditorGUILayout.PropertyField(bpVectorActionDescription, new GUIContent(
-                        "Branch Descriptions", "A list of strings used to name" +
-                                               " the available branches for the Brain."), true);
-                }
-            }
-
-            EditorGUI.indentLevel = indentLevel;
-            SerializedProperty bt = serializedBrain.FindProperty("brainType");
-            EditorGUILayout.PropertyField(bt);
-
-            if (bt.enumValueIndex < 0)
+            var brain = (Brain) target;
+            var brainToCopy = EditorGUILayout.ObjectField(
+                "Copy Brain Parameters from : ", null, typeof(Brain), false) as Brain;
+            if (brainToCopy != null)
-                bt.enumValueIndex = (int) BrainType.Player;
+                brain.brainParameters = brainToCopy.brainParameters.Clone();
+                EditorUtility.SetDirty(brain);
+                AssetDatabase.SaveAssets();
+                return;
-
+            var serializedBrain = serializedObject;
+            serializedBrain.Update(); 
+            EditorGUILayout.PropertyField(serializedBrain.FindProperty("brainParameters"), true);
-
-            myBrain.UpdateCoreBrains();
-            myBrain.coreBrain.OnInspector();
-
-#if !NET_4_6 && ENABLE_TENSORFLOW
-        EditorGUILayout.HelpBox ("You cannot have ENABLE_TENSORFLOW without NET_4_6", MessageType.Error);
-        #endif
+            
+            // Draws a horizontal thick line
+            EditorGUILayout.LabelField("", GUI.skin.horizontalSlider);
         }
     }
 }

UnitySDK/Assets/ML-Agents/Editor/BrainEditor.cs.meta

-fileFormatVersion: 2
-guid: f1895a43ed0f54ffd9ee06234c4399e7
-timeCreated: 1503270350
-licenseType: Free
-MonoImporter:
-  serializedVersion: 2
-  defaultReferences: []
-  executionOrder: 0
-  icon: {instanceID: 0}
-  userData: 
-  assetBundleName: 
-  assetBundleVariant: 
+fileFormatVersion: 2
+guid: 7b07bebd03994ed08559c725da882b62
+timeCreated: 1537834304

UnitySDK/Assets/ML-Agents/Editor/ResetParameterDrawer.cs

 
 namespace MLAgents
 {
-
+    /// <summary>
+    /// PropertyDrawer for ResetParameters. Defines how ResetParameters are displayed in the
+    /// Inspector.
+    /// </summary>
-        private ResetParameters _Dictionary;
-        private const float lineHeight = 17f;
+        private ResetParameters _parameters;
+        // The height of a line in the Unity Inspectors
+        private const float LineHeight = 17f;
+        // This is the prefix for the key when you add a reset parameter
+        private const string NewKeyPrefix = "Param-";
+        /// <summary>
+        /// Computes the height of the Drawer depending on the property it is showing
+        /// </summary>
+        /// <param name="property">The property that is being drawn.</param>
+        /// <param name="label">The label of the property being drawn.</param>
+        /// <returns>The vertical space needed to draw the property.</returns>
-            CheckInitialize(property, label);
-            return (_Dictionary.Count + 2) * lineHeight;
+            LazyInitializeParameters(property, label);
+            return (_parameters.Count + 2) * LineHeight;
+        /// <inheritdoc />
-
-            CheckInitialize(property, label);
-            position.height = lineHeight;
+            LazyInitializeParameters(property, label);
+            position.height = LineHeight;
-
+            position.y += LineHeight;
+            var width = position.width / 2 - 24;
+            var keyRect = new Rect(position.x + 20, position.y, width, position.height);
+            var valueRect = new Rect(position.x + width + 30, position.y, width, position.height);
+            DrawAddRemoveButtons(keyRect, valueRect);
-            foreach (var item in _Dictionary)
+            foreach (var parameter in _parameters)
-                var key = item.Key;
-                var value = item.Value;
-                position.y += lineHeight;
-
-                // This is the rectangle for the key
-                var keyRect = position;
-                keyRect.x += 20;
-                keyRect.width /= 2;
-                keyRect.width -= 24;
+                var key = parameter.Key;
+                var value = parameter.Value;
+                keyRect.y += LineHeight;
+                valueRect.y += LineHeight;
-                    EditorSceneManager.MarkSceneDirty(EditorSceneManager.GetActiveScene());
+                    MarkSceneAsDirty();
-                        _Dictionary.Remove(key);
-                        _Dictionary.Add(newKey, value);
+                        _parameters.Remove(key);
+                        _parameters.Add(newKey, value);
-
-                // This is the Rectangle for the value
-                var valueRect = position;
-                valueRect.x = position.width / 2 + 15;
-                valueRect.width = keyRect.width - 18;
-                    EditorSceneManager.MarkSceneDirty(EditorSceneManager.GetActiveScene());
-                    _Dictionary[key] = value;
+                    MarkSceneAsDirty();
+                    _parameters[key] = value;
+            EditorGUI.EndProperty();
+        }
-            // This is the rectangle for the Add button
-            position.y += lineHeight;
-            var AddButtonRect = position;
-            AddButtonRect.x += 20;
-            AddButtonRect.width /= 2;
-            AddButtonRect.width -= 24;
-            if (GUI.Button(AddButtonRect, new GUIContent("Add New",
-                "Add a new item to the default reset paramters"), EditorStyles.miniButton))
+        /// <summary>
+        /// Draws the Add and Remove buttons.
+        /// </summary>
+        /// <param name="addRect">The rectangle for the Add New button.</param>
+        /// <param name="removeRect">The rectangle for the Remove Last button.</param>
+        private void DrawAddRemoveButtons(Rect addRect, Rect removeRect)
+        {
+            // This is the Add button
+            if (_parameters.Count == 0)
+            {
+                addRect.width *= 2;
+            }
+            if (GUI.Button(addRect,
+                new GUIContent("Add New", "Add a new item to the default reset parameters"), 
+                EditorStyles.miniButton))
+            {
+                MarkSceneAsDirty();
+                AddParameter();
+            }
+            
+            // If there are no items in the ResetParameters, Hide the Remove button
+            if (_parameters.Count == 0)
-                EditorSceneManager.MarkSceneDirty(EditorSceneManager.GetActiveScene());
-                AddNewItem();
+                return;
-
-            // This is the rectangle for the Remove button
-            var RemoveButtonRect = position;
-            RemoveButtonRect.x = position.width / 2 + 15;
-            RemoveButtonRect.width = AddButtonRect.width - 18;
-            if (GUI.Button(RemoveButtonRect, new GUIContent("Remove Last",
-                "Remove the last item to the default reset paramters"), EditorStyles.miniButton))
+            // This is the Remove button
+            if (GUI.Button(removeRect, 
+                new GUIContent(
+                    "Remove Last", "Remove the last item from the default reset parameters"), 
+                EditorStyles.miniButton))
-                EditorSceneManager.MarkSceneDirty(EditorSceneManager.GetActiveScene());
-                RemoveLastItem();
+                MarkSceneAsDirty();
+                RemoveLastParameter();
-
-
-            EditorGUI.EndProperty();
-
-        private void CheckInitialize(SerializedProperty property, GUIContent label)
+        /// <summary>
+        /// Signals that the property has been modified and requires the scene to be saved for
+        /// the changes to persist. Only works when the Editor is not playing.
+        /// </summary>
+        private static void MarkSceneAsDirty()
-            if (_Dictionary == null)
+            if (!EditorApplication.isPlaying)
-                var target = property.serializedObject.targetObject;
-                _Dictionary = fieldInfo.GetValue(target) as ResetParameters;
-                if (_Dictionary == null)
-                {
-                    _Dictionary = new ResetParameters();
-                    fieldInfo.SetValue(target, _Dictionary);
-                }
+                EditorSceneManager.MarkSceneDirty(EditorSceneManager.GetActiveScene());
-        private void ClearResetParamters()
+        /// <summary>
+        /// Ensures that the state of the Drawer is synchronized with the property.
+        /// </summary>
+        /// <param name="property">The SerializedProperty of the ResetParameters
+        /// to make the custom GUI for.</param>
+        /// <param name="label">The label of this property.</param>
+        private void LazyInitializeParameters(SerializedProperty property, GUIContent label)
-            _Dictionary.Clear();
+            if (_parameters != null)
+            {
+                return;
+            }
+            var target = property.serializedObject.targetObject;
+            _parameters = fieldInfo.GetValue(target) as ResetParameters;
+            if (_parameters == null)
+            {
+                _parameters = new ResetParameters();
+                fieldInfo.SetValue(target, _parameters);
+            }
-        private void RemoveLastItem()
+        /// <summary>
+        /// Removes the last ResetParameter from the ResetParameters
+        /// </summary>
+        private void RemoveLastParameter()
-            if (_Dictionary.Count > 0)
+            if (_parameters.Count > 0)
-                string key = _Dictionary.Keys.ToList()[_Dictionary.Count - 1];
-                _Dictionary.Remove(key);
+                string key = _parameters.Keys.ToList()[_parameters.Count - 1];
+                _parameters.Remove(key);
-        private void AddNewItem()
+        /// <summary>
+        /// Adds a new ResetParameter to the ResetParameters with a default name.
+        /// </summary>
+        private void AddParameter()
-            string key = "Param-" + _Dictionary.Count.ToString();
+            string key = NewKeyPrefix + _parameters.Count;
-                _Dictionary.Add(key, value);
+                _parameters.Add(key, value);
             }
             catch (Exception e)
             {

UnitySDK/Assets/ML-Agents/Editor/Tests/MLAgentsEditModeTest.cs

     // It is left empty because we are not testing any brain behavior
     public class TestBrain : Brain
     {
+        public int numberOfCallsToInitialize = 0;
+        public int numberOfCallsToDecideAction = 0;
+        public static TestBrain Instantiate()
+        {
+            return CreateInstance<TestBrain>();
+        }
+        protected override void Initialize()
+        {
+            numberOfCallsToInitialize++;
+        }
+
+        protected override void DecideAction()
+        {
+            numberOfCallsToDecideAction++;
+            agentInfos.Clear();
+        }
     }
 
 
     public class EditModeTestInitialization
     {
 
+        private Brain GenerateTestBrain()
+        {
+            return ScriptableObject.CreateInstance<TestBrain>();
+        } 
+        
         [Test]
         public void TestAcademy()
         {
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
             brain.brainParameters = new BrainParameters();
             brain.brainParameters.vectorObservationSize = 0;
             agent1.GiveBrain(brain);
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
 
 
             MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
             agent2.agentParameters.onDemandDecision = true;
             // agent2 will request decisions only when RequestDecision is called
             brain.brainParameters.vectorObservationSize = 0;
-            brain.brainParameters.cameraResolutions = new resolution[0];
+            brain.brainParameters.cameraResolutions = new Resolution[0];
             agent1.GiveBrain(brain);
             agent2.GiveBrain(brain);
 
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
 
 
             MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
             agent2.agentParameters.onDemandDecision = true;
             // agent2 will request decisions only when RequestDecision is called
             brain.brainParameters.vectorObservationSize = 0;
-            brain.brainParameters.cameraResolutions = new resolution[0];
+            brain.brainParameters.cameraResolutions = new Resolution[0];
             agent1.GiveBrain(brain);
             agent2.GiveBrain(brain);
 
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
 
 
             MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
             agent1.agentParameters.maxStep = 20;
             agent2.agentParameters.maxStep = 30;
             brain.brainParameters.vectorObservationSize = 0;
-            brain.brainParameters.cameraResolutions = new resolution[0];
+            brain.brainParameters.cameraResolutions = new Resolution[0];
             agent1.GiveBrain(brain);
             agent2.GiveBrain(brain);
 
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
 
 
             MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
             agent1.agentParameters.resetOnDone = false;
             agent2.agentParameters.resetOnDone = false;
             brain.brainParameters.vectorObservationSize = 0;
-            brain.brainParameters.cameraResolutions = new resolution[0];
+            brain.brainParameters.cameraResolutions = new Resolution[0];
             agent1.GiveBrain(brain);
             agent2.GiveBrain(brain);
 
             GameObject acaGO = new GameObject("TestAcademy");
             acaGO.AddComponent<TestAcademy>();
             TestAcademy aca = acaGO.GetComponent<TestAcademy>();
-            GameObject brainGO = new GameObject("TestBrain");
-            brainGO.transform.parent = acaGO.transform;
-            brainGO.AddComponent<TestBrain>();
-            TestBrain brain = brainGO.GetComponent<TestBrain>();
+            TestBrain brain = TestBrain.Instantiate();
 
 
             MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
             // agent2 will request decisions only when RequestDecision is called
             agent1.agentParameters.maxStep = 20;
             brain.brainParameters.vectorObservationSize = 0;
-            brain.brainParameters.cameraResolutions = new resolution[0];
+            brain.brainParameters.cameraResolutions = new Resolution[0];
             agent1.GiveBrain(brain);
             agent2.GiveBrain(brain);
 

UnitySDK/Assets/ML-Agents/Examples/3DBall/Prefabs/Game.prefab

   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: e35c6159207d7448e988c8cf0c137ab6, type: 2}
   m_StaticBatchInfo:
   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: 00d852aac9443402984416f9dbcd22ea, type: 2}
   m_StaticBatchInfo:
   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: edd958d75ed1448138de86f3335ea4fa, type: 2}
   m_StaticBatchInfo:
   m_Script: {fileID: 11500000, guid: aaba48bf82bee4751aa7b89569e57f73, type: 3}
   m_Name: 
   m_EditorClassIdentifier: 
-  brain: {fileID: 0}
+  brain: {fileID: 11400000, guid: 97d8f9d40dc8c452f932f7caa9549c7d, type: 2}
   agentParameters:
     agentCameras: []
     maxStep: 5000

UnitySDK/Assets/ML-Agents/Examples/3DBall/Prefabs/GameHard.prefab

   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: 776dd8b57653342839c3fb5f46ce664e, type: 2}
   m_StaticBatchInfo:
   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: e35c6159207d7448e988c8cf0c137ab6, type: 2}
   m_StaticBatchInfo:
   m_MotionVectors: 1
   m_LightProbeUsage: 1
   m_ReflectionProbeUsage: 1
-  m_RenderingLayerMask: 4294967295
   m_Materials:
   - {fileID: 2100000, guid: edd958d75ed1448138de86f3335ea4fa, type: 2}
   m_StaticBatchInfo:
   m_Script: {fileID: 11500000, guid: edf26e11cf4ed42eaa3ffb7b91bb4676, type: 3}
   m_Name: 
   m_EditorClassIdentifier: 
-  brain: {fileID: 0}
+  brain: {fileID: 11400000, guid: 55f48be32ac184c6ab67cf647100bac4, type: 2}
   agentParameters:
     agentCameras: []
     maxStep: 5000

UnitySDK/Assets/ML-Agents/Examples/3DBall/Scenes/3DBall.unity

 --- !u!104 &2
 RenderSettings:
   m_ObjectHideFlags: 0
-  serializedVersion: 9
+  serializedVersion: 8
   m_Fog: 0
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UnitySDK/Assets/ML-Agents/Examples/3DBall/Scripts/Ball3DDecision.cs

 using UnityEngine;
 using MLAgents;
 
-public class Ball3DDecision : MonoBehaviour, Decision
+public class Ball3DDecision : Decision
-    public float[] Decide(
+    public override float[] Decide(
         List<float> vectorObs,
         List<Texture2D> visualObs,
         float reward,
-        if (gameObject.GetComponent<Brain>().brainParameters.vectorActionSpaceType
-            == SpaceType.continuous)
+        if (brainParameters.vectorActionSpaceType == SpaceType.continuous)
         {
             List<float> act = new List<float>();
 
         return new float[1] { 1f };
     }
 
-    public List<float> MakeMemory(
+    public override List<float> MakeMemory(
         List<float> vectorObs,
         List<Texture2D> visualObs,
         float reward,

UnitySDK/Assets/ML-Agents/Examples/BananaCollectors/Prefabs/RLArea.prefab

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