Develop one to one scene edits

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

@@ -608,18 +608,17 @@ MonoBehaviour:
   m_Script: {fileID: 11500000, guid: edf26e11cf4ed42eaa3ffb7b91bb4676, type: 3}
   m_Name: 
   m_EditorClassIdentifier: 
-  m_BrainFactoryParameters:
-    behaviorName: MyBehaviorHard
-    brainParameters:
-      vectorObservationSize: 5
-      numStackedVectorObservations: 1
-      vectorActionSize: 02000000
-      cameraResolutions: []
-      vectorActionDescriptions: []
-      vectorActionSpaceType: 1
-    model: {fileID: 0}
-    inferenceDevice: 0
-    useHeuristic: 0
+  m_BrainParameters:
+    vectorObservationSize: 5
+    numStackedVectorObservations: 9
+    vectorActionSize: 02000000
+    cameraResolutions: []
+    vectorActionDescriptions: []
+    vectorActionSpaceType: 1
+  m_Model: {fileID: 11400000, guid: cee7d20369b814d549573de7e76c4a81, type: 3}
+  m_InferenceDevice: 0
+  m_UseHeuristic: 0
+  m_BehaviorName: 3DBallHard
   agentParameters:
     agentCameras: []
     agentRenderTextures: []

UnitySDK/Assets/ML-Agents/Examples/Basic/Prefabs/Basic.prefab

@@ -907,7 +907,17 @@ MonoBehaviour:
   m_Script: {fileID: 11500000, guid: 624480a72e46148118ab2e2d89b537de, type: 3}
   m_Name: 
   m_EditorClassIdentifier: 
-  brain: {fileID: 11400000, guid: e5cf0e35e16264ea483f8863e5115c3c, type: 2}
+  m_BrainParameters:
+    vectorObservationSize: 20
+    numStackedVectorObservations: 1
+    vectorActionSize: 03000000
+    cameraResolutions: []
+    vectorActionDescriptions: []
+    vectorActionSpaceType: 0
+  m_Model: {fileID: 11400000, guid: 53fa7c392ce3c492281be273668f6aaf, type: 3}
+  m_InferenceDevice: 0
+  m_UseHeuristic: 0
+  m_BehaviorName: Basic
   agentParameters:
     agentCameras: []
     agentRenderTextures: []

UnitySDK/Assets/ML-Agents/Examples/Basic/Scripts/BasicAgent.cs

@@ -73,6 +73,19 @@ public override void AgentReset()
         largeGoal.transform.position = new Vector3(m_LargeGoalPosition - 10f, 0f, 0f);
     }
 
+    public override float[] Heuristic()
+    {
+        if (Input.GetKey(KeyCode.D))
+        {
+            return new float[] { 2 };
+        }
+        if (Input.GetKey(KeyCode.A))
+        {
+            return new float[] { 1 };
+        }
+        return new float[] { 0 };
+    }
+
     public override void AgentOnDone()
     {
     }

UnitySDK/Assets/ML-Agents/Examples/Bouncer/Prefabs/Environment.prefab

@@ -826,7 +826,17 @@ MonoBehaviour:
   m_Script: {fileID: 11500000, guid: 0f09741cbce2e44bc88d3e92917eea0e, type: 3}
   m_Name: 
   m_EditorClassIdentifier: 
-  brain: {fileID: 11400000, guid: 573920e3a672d40038169c7ffdbdca05, type: 2}
+  m_BrainParameters:
+    vectorObservationSize: 6
+    numStackedVectorObservations: 3
+    vectorActionSize: 03000000
+    cameraResolutions: []
+    vectorActionDescriptions: []
+    vectorActionSpaceType: 1
+  m_Model: {fileID: 11400000, guid: f5250a39cb2134db49b833e3c92527a1, type: 3}
+  m_InferenceDevice: 0
+  m_UseHeuristic: 0
+  m_BehaviorName: Bouncer
   agentParameters:
     agentCameras: []
     agentRenderTextures: []

UnitySDK/Assets/ML-Agents/Examples/Bouncer/Scripts/BouncerAgent.cs

@@ -104,6 +104,16 @@ private void FixedUpdate()
         }
     }
 
+    public override float[] Heuristic()
+    {
+        var action = new float[3];
+
+        action[0] = Input.GetAxis("Horizontal");
+        action[1] = Input.GetKey(KeyCode.Space) ? 1.0f : 0.0f;
+        action[2] = Input.GetAxis("Vertical");
+        return action;
+    }
+
     private void Update()
     {
         if (m_LookDir.magnitude > float.Epsilon)