diff --git a/com.unity.ml-agents/CHANGELOG.md b/com.unity.ml-agents/CHANGELOG.md
index 4fe97bdea3..2ef7334f8b 100755
--- a/com.unity.ml-agents/CHANGELOG.md
+++ b/com.unity.ml-agents/CHANGELOG.md
@@ -7,12 +7,19 @@ and this project adheres to
 [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 ## [2.0.1] - 2021-10-13
 ### Minor Changes
-#### com.unity.ml-agents (C#)
+#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
 - Upgrade to 2.0.1
+- Update gRPC native lib to universal for arm64 and x86_64. This change should enable ml-agents usage on mac M1 (#5283, #5519)
 #### ml-agents / ml-agents-envs / gym-unity (Python)
-- Set gym version in gym-unity to gym release 0.20.0
+- Set gym version in gym-unity to gym release 0.20.0(#5540)
+- Harden user PII protection logic and extend TrainingAnalytics to expose detailed configuration parameters. (#5512)
 - Added minimal analytics collection to LL-API (#5511)
 
+### Bug Fixes
+#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
+- Fixed the bug where curriculum learning would crash because of the incorrect run_options parsing. (#5586)
+#### ml-agents / ml-agents-envs / gym-unity (Python)
+
 ## [2.0.0] - 2021-09-01
 ### Minor Changes
 #### com.unity.ml-agents (C#)
diff --git a/com.unity.ml-agents/Runtime/Analytics/AnalyticsUtils.cs b/com.unity.ml-agents/Runtime/Analytics/AnalyticsUtils.cs
index fb480b7a11..b206f6bd98 100644
--- a/com.unity.ml-agents/Runtime/Analytics/AnalyticsUtils.cs
+++ b/com.unity.ml-agents/Runtime/Analytics/AnalyticsUtils.cs
@@ -1,19 +1,45 @@
 using System;
+using System.Text;
+using System.Security.Cryptography;
 using UnityEngine;
 
 namespace Unity.MLAgents.Analytics
 {
+
     internal static class AnalyticsUtils
     {
+        /// <summary>
+        /// Conversion function from byte array to hex string
+        /// </summary>
+        /// <param name="array"></param>
+        /// <returns>A byte array to be hex encoded.</returns>
+        private static string ToHexString(byte[] array)
+        {
+            StringBuilder hex = new StringBuilder(array.Length * 2);
+            foreach (byte b in array)
+            {
+                hex.AppendFormat("{0:x2}", b);
+            }
+            return hex.ToString();
+        }
+
         /// <summary>
         /// Hash a string to remove PII or secret info before sending to analytics
         /// </summary>
-        /// <param name="s"></param>
-        /// <returns>A string containing the Hash128 of the input string.</returns>
-        public static string Hash(string s)
+        /// <param name="key"></param>
+        /// <returns>A string containing the key to be used for HMAC encoding.</returns>
+        /// <param name="value"></param>
+        /// <returns>A string containing the value to be encoded.</returns>
+        public static string Hash(string key, string value)
         {
-            var behaviorNameHash = Hash128.Compute(s);
-            return behaviorNameHash.ToString();
+            string hash;
+            UTF8Encoding encoder = new UTF8Encoding();
+            using (HMACSHA256 hmac = new HMACSHA256(encoder.GetBytes(key)))
+            {
+                Byte[] hmBytes = hmac.ComputeHash(encoder.GetBytes(value));
+                hash = ToHexString(hmBytes);
+            }
+            return hash;
         }
 
         internal static bool s_SendEditorAnalytics = true;
diff --git a/com.unity.ml-agents/Runtime/Analytics/Events.cs b/com.unity.ml-agents/Runtime/Analytics/Events.cs
index f269d91436..4a34273c04 100644
--- a/com.unity.ml-agents/Runtime/Analytics/Events.cs
+++ b/com.unity.ml-agents/Runtime/Analytics/Events.cs
@@ -156,6 +156,7 @@ internal struct TrainingEnvironmentInitializedEvent
         public string TorchDeviceType;
         public int NumEnvironments;
         public int NumEnvironmentParameters;
+        public string RunOptions;
     }
 
     [Flags]
@@ -188,5 +189,6 @@ internal struct TrainingBehaviorInitializedEvent
         public string VisualEncoder;
         public int NumNetworkLayers;
         public int NumNetworkHiddenUnits;
+        public string Config;
     }
 }
diff --git a/com.unity.ml-agents/Runtime/Analytics/InferenceAnalytics.cs b/com.unity.ml-agents/Runtime/Analytics/InferenceAnalytics.cs
index 4286aa844d..18d5fc62f8 100644
--- a/com.unity.ml-agents/Runtime/Analytics/InferenceAnalytics.cs
+++ b/com.unity.ml-agents/Runtime/Analytics/InferenceAnalytics.cs
@@ -156,7 +156,7 @@ IList<IActuator> actuators
             var inferenceEvent = new InferenceEvent();
 
             // Hash the behavior name so that there's no concern about PII or "secret" data being leaked.
-            inferenceEvent.BehaviorName = AnalyticsUtils.Hash(behaviorName);
+            inferenceEvent.BehaviorName = AnalyticsUtils.Hash(k_VendorKey, behaviorName);
 
             inferenceEvent.BarracudaModelSource = barracudaModel.IrSource;
             inferenceEvent.BarracudaModelVersion = barracudaModel.IrVersion;
diff --git a/com.unity.ml-agents/Runtime/Analytics/TrainingAnalytics.cs b/com.unity.ml-agents/Runtime/Analytics/TrainingAnalytics.cs
index fb14e1bab7..1b12dcf5d4 100644
--- a/com.unity.ml-agents/Runtime/Analytics/TrainingAnalytics.cs
+++ b/com.unity.ml-agents/Runtime/Analytics/TrainingAnalytics.cs
@@ -192,8 +192,21 @@ internal static string ParseBehaviorName(string fullyQualifiedBehaviorName)
             return fullyQualifiedBehaviorName.Substring(0, lastQuestionIndex);
         }
 
+        internal static TrainingBehaviorInitializedEvent SanitizeTrainingBehaviorInitializedEvent(TrainingBehaviorInitializedEvent tbiEvent)
+        {
+            // Hash the behavior name if the message version is from an older version of ml-agents that doesn't do trainer-side hashing.
+            // We'll also, for extra safety, verify that the BehaviorName is the size of the expected SHA256 hash.
+            // Context: The config field was added at the same time as trainer side hashing, so messages including it should already be hashed.
+            if (tbiEvent.Config.Length == 0 || tbiEvent.BehaviorName.Length != 64)
+            {
+                tbiEvent.BehaviorName = AnalyticsUtils.Hash(k_VendorKey, tbiEvent.BehaviorName);
+            }
+
+            return tbiEvent;
+        }
+
         [Conditional("MLA_UNITY_ANALYTICS_MODULE")]
-        public static void TrainingBehaviorInitialized(TrainingBehaviorInitializedEvent tbiEvent)
+        public static void TrainingBehaviorInitialized(TrainingBehaviorInitializedEvent rawTbiEvent)
         {
 #if UNITY_EDITOR && MLA_UNITY_ANALYTICS_MODULE
             if (!IsAnalyticsEnabled())
@@ -202,6 +215,7 @@ public static void TrainingBehaviorInitialized(TrainingBehaviorInitializedEvent
             if (!EnableAnalytics())
                 return;
 
+            var tbiEvent = SanitizeTrainingBehaviorInitializedEvent(rawTbiEvent);
             var behaviorName = tbiEvent.BehaviorName;
             var added = s_SentTrainingBehaviorInitialized.Add(behaviorName);
 
@@ -211,9 +225,7 @@ public static void TrainingBehaviorInitialized(TrainingBehaviorInitializedEvent
                 return;
             }
 
-            // Hash the behavior name so that there's no concern about PII or "secret" data being leaked.
             tbiEvent.TrainingSessionGuid = s_TrainingSessionGuid.ToString();
-            tbiEvent.BehaviorName = AnalyticsUtils.Hash(tbiEvent.BehaviorName);
 
             // Note - to debug, use JsonUtility.ToJson on the event.
             // Debug.Log(
@@ -236,7 +248,7 @@ IList<IActuator> actuators
             var remotePolicyEvent = new RemotePolicyInitializedEvent();
 
             // Hash the behavior name so that there's no concern about PII or "secret" data being leaked.
-            remotePolicyEvent.BehaviorName = AnalyticsUtils.Hash(behaviorName);
+            remotePolicyEvent.BehaviorName = AnalyticsUtils.Hash(k_VendorKey, behaviorName);
 
             remotePolicyEvent.TrainingSessionGuid = s_TrainingSessionGuid.ToString();
             remotePolicyEvent.ActionSpec = EventActionSpec.FromActionSpec(actionSpec);
diff --git a/com.unity.ml-agents/Runtime/Communicator/GrpcExtensions.cs b/com.unity.ml-agents/Runtime/Communicator/GrpcExtensions.cs
index 760d5e6b25..e49bd876e7 100644
--- a/com.unity.ml-agents/Runtime/Communicator/GrpcExtensions.cs
+++ b/com.unity.ml-agents/Runtime/Communicator/GrpcExtensions.cs
@@ -501,6 +501,7 @@ internal static TrainingEnvironmentInitializedEvent ToTrainingEnvironmentInitial
                 TorchDeviceType = inputProto.TorchDeviceType,
                 NumEnvironments = inputProto.NumEnvs,
                 NumEnvironmentParameters = inputProto.NumEnvironmentParameters,
+                RunOptions = inputProto.RunOptions,
             };
         }
 
@@ -530,6 +531,7 @@ internal static TrainingBehaviorInitializedEvent ToTrainingBehaviorInitializedEv
                 VisualEncoder = inputProto.VisualEncoder,
                 NumNetworkLayers = inputProto.NumNetworkLayers,
                 NumNetworkHiddenUnits = inputProto.NumNetworkHiddenUnits,
+                Config = inputProto.Config,
             };
         }
 
diff --git a/com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/TrainingAnalytics.cs b/com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/TrainingAnalytics.cs
index 099563e949..042357f280 100644
--- a/com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/TrainingAnalytics.cs
+++ b/com.unity.ml-agents/Runtime/Grpc/CommunicatorObjects/TrainingAnalytics.cs
@@ -25,28 +25,29 @@ static TrainingAnalyticsReflection() {
       byte[] descriptorData = global::System.Convert.FromBase64String(
           string.Concat(
             "CjttbGFnZW50c19lbnZzL2NvbW11bmljYXRvcl9vYmplY3RzL3RyYWluaW5n",
-            "X2FuYWx5dGljcy5wcm90bxIUY29tbXVuaWNhdG9yX29iamVjdHMi2QEKHlRy",
+            "X2FuYWx5dGljcy5wcm90bxIUY29tbXVuaWNhdG9yX29iamVjdHMi7gEKHlRy",
             "YWluaW5nRW52aXJvbm1lbnRJbml0aWFsaXplZBIYChBtbGFnZW50c192ZXJz",
             "aW9uGAEgASgJEh0KFW1sYWdlbnRzX2VudnNfdmVyc2lvbhgCIAEoCRIWCg5w",
             "eXRob25fdmVyc2lvbhgDIAEoCRIVCg10b3JjaF92ZXJzaW9uGAQgASgJEhkK",
             "EXRvcmNoX2RldmljZV90eXBlGAUgASgJEhAKCG51bV9lbnZzGAYgASgFEiIK",
-            "Gm51bV9lbnZpcm9ubWVudF9wYXJhbWV0ZXJzGAcgASgFIq0DChtUcmFpbmlu",
-            "Z0JlaGF2aW9ySW5pdGlhbGl6ZWQSFQoNYmVoYXZpb3JfbmFtZRgBIAEoCRIU",
-            "Cgx0cmFpbmVyX3R5cGUYAiABKAkSIAoYZXh0cmluc2ljX3Jld2FyZF9lbmFi",
-            "bGVkGAMgASgIEhsKE2dhaWxfcmV3YXJkX2VuYWJsZWQYBCABKAgSIAoYY3Vy",
-            "aW9zaXR5X3Jld2FyZF9lbmFibGVkGAUgASgIEhoKEnJuZF9yZXdhcmRfZW5h",
-            "YmxlZBgGIAEoCBIiChpiZWhhdmlvcmFsX2Nsb25pbmdfZW5hYmxlZBgHIAEo",
-            "CBIZChFyZWN1cnJlbnRfZW5hYmxlZBgIIAEoCBIWCg52aXN1YWxfZW5jb2Rl",
-            "chgJIAEoCRIaChJudW1fbmV0d29ya19sYXllcnMYCiABKAUSIAoYbnVtX25l",
-            "dHdvcmtfaGlkZGVuX3VuaXRzGAsgASgFEhgKEHRyYWluZXJfdGhyZWFkZWQY",
-            "DCABKAgSGQoRc2VsZl9wbGF5X2VuYWJsZWQYDSABKAgSGgoSY3VycmljdWx1",
-            "bV9lbmFibGVkGA4gASgIQiWqAiJVbml0eS5NTEFnZW50cy5Db21tdW5pY2F0",
-            "b3JPYmplY3RzYgZwcm90bzM="));
+            "Gm51bV9lbnZpcm9ubWVudF9wYXJhbWV0ZXJzGAcgASgFEhMKC3J1bl9vcHRp",
+            "b25zGAggASgJIr0DChtUcmFpbmluZ0JlaGF2aW9ySW5pdGlhbGl6ZWQSFQoN",
+            "YmVoYXZpb3JfbmFtZRgBIAEoCRIUCgx0cmFpbmVyX3R5cGUYAiABKAkSIAoY",
+            "ZXh0cmluc2ljX3Jld2FyZF9lbmFibGVkGAMgASgIEhsKE2dhaWxfcmV3YXJk",
+            "X2VuYWJsZWQYBCABKAgSIAoYY3VyaW9zaXR5X3Jld2FyZF9lbmFibGVkGAUg",
+            "ASgIEhoKEnJuZF9yZXdhcmRfZW5hYmxlZBgGIAEoCBIiChpiZWhhdmlvcmFs",
+            "X2Nsb25pbmdfZW5hYmxlZBgHIAEoCBIZChFyZWN1cnJlbnRfZW5hYmxlZBgI",
+            "IAEoCBIWCg52aXN1YWxfZW5jb2RlchgJIAEoCRIaChJudW1fbmV0d29ya19s",
+            "YXllcnMYCiABKAUSIAoYbnVtX25ldHdvcmtfaGlkZGVuX3VuaXRzGAsgASgF",
+            "EhgKEHRyYWluZXJfdGhyZWFkZWQYDCABKAgSGQoRc2VsZl9wbGF5X2VuYWJs",
+            "ZWQYDSABKAgSGgoSY3VycmljdWx1bV9lbmFibGVkGA4gASgIEg4KBmNvbmZp",
+            "ZxgPIAEoCUIlqgIiVW5pdHkuTUxBZ2VudHMuQ29tbXVuaWNhdG9yT2JqZWN0",
+            "c2IGcHJvdG8z"));
       descriptor = pbr::FileDescriptor.FromGeneratedCode(descriptorData,
           new pbr::FileDescriptor[] { },
           new pbr::GeneratedClrTypeInfo(null, new pbr::GeneratedClrTypeInfo[] {
-            new pbr::GeneratedClrTypeInfo(typeof(global::Unity.MLAgents.CommunicatorObjects.TrainingEnvironmentInitialized), global::Unity.MLAgents.CommunicatorObjects.TrainingEnvironmentInitialized.Parser, new[]{ "MlagentsVersion", "MlagentsEnvsVersion", "PythonVersion", "TorchVersion", "TorchDeviceType", "NumEnvs", "NumEnvironmentParameters" }, null, null, null),
-            new pbr::GeneratedClrTypeInfo(typeof(global::Unity.MLAgents.CommunicatorObjects.TrainingBehaviorInitialized), global::Unity.MLAgents.CommunicatorObjects.TrainingBehaviorInitialized.Parser, new[]{ "BehaviorName", "TrainerType", "ExtrinsicRewardEnabled", "GailRewardEnabled", "CuriosityRewardEnabled", "RndRewardEnabled", "BehavioralCloningEnabled", "RecurrentEnabled", "VisualEncoder", "NumNetworkLayers", "NumNetworkHiddenUnits", "TrainerThreaded", "SelfPlayEnabled", "CurriculumEnabled" }, null, null, null)
+            new pbr::GeneratedClrTypeInfo(typeof(global::Unity.MLAgents.CommunicatorObjects.TrainingEnvironmentInitialized), global::Unity.MLAgents.CommunicatorObjects.TrainingEnvironmentInitialized.Parser, new[]{ "MlagentsVersion", "MlagentsEnvsVersion", "PythonVersion", "TorchVersion", "TorchDeviceType", "NumEnvs", "NumEnvironmentParameters", "RunOptions" }, null, null, null),
+            new pbr::GeneratedClrTypeInfo(typeof(global::Unity.MLAgents.CommunicatorObjects.TrainingBehaviorInitialized), global::Unity.MLAgents.CommunicatorObjects.TrainingBehaviorInitialized.Parser, new[]{ "BehaviorName", "TrainerType", "ExtrinsicRewardEnabled", "GailRewardEnabled", "CuriosityRewardEnabled", "RndRewardEnabled", "BehavioralCloningEnabled", "RecurrentEnabled", "VisualEncoder", "NumNetworkLayers", "NumNetworkHiddenUnits", "TrainerThreaded", "SelfPlayEnabled", "CurriculumEnabled", "Config" }, null, null, null)
           }));
     }
     #endregion
@@ -85,6 +86,7 @@ public TrainingEnvironmentInitialized(TrainingEnvironmentInitialized other) : th
       torchDeviceType_ = other.torchDeviceType_;
       numEnvs_ = other.numEnvs_;
       numEnvironmentParameters_ = other.numEnvironmentParameters_;
+      runOptions_ = other.runOptions_;
       _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
     }
 
@@ -170,6 +172,17 @@ public int NumEnvironmentParameters {
       }
     }
 
+    /// <summary>Field number for the "run_options" field.</summary>
+    public const int RunOptionsFieldNumber = 8;
+    private string runOptions_ = "";
+    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+    public string RunOptions {
+      get { return runOptions_; }
+      set {
+        runOptions_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+      }
+    }
+
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
     public override bool Equals(object other) {
       return Equals(other as TrainingEnvironmentInitialized);
@@ -190,6 +203,7 @@ public bool Equals(TrainingEnvironmentInitialized other) {
       if (TorchDeviceType != other.TorchDeviceType) return false;
       if (NumEnvs != other.NumEnvs) return false;
       if (NumEnvironmentParameters != other.NumEnvironmentParameters) return false;
+      if (RunOptions != other.RunOptions) return false;
       return Equals(_unknownFields, other._unknownFields);
     }
 
@@ -203,6 +217,7 @@ public override int GetHashCode() {
       if (TorchDeviceType.Length != 0) hash ^= TorchDeviceType.GetHashCode();
       if (NumEnvs != 0) hash ^= NumEnvs.GetHashCode();
       if (NumEnvironmentParameters != 0) hash ^= NumEnvironmentParameters.GetHashCode();
+      if (RunOptions.Length != 0) hash ^= RunOptions.GetHashCode();
       if (_unknownFields != null) {
         hash ^= _unknownFields.GetHashCode();
       }
@@ -244,6 +259,10 @@ public void WriteTo(pb::CodedOutputStream output) {
         output.WriteRawTag(56);
         output.WriteInt32(NumEnvironmentParameters);
       }
+      if (RunOptions.Length != 0) {
+        output.WriteRawTag(66);
+        output.WriteString(RunOptions);
+      }
       if (_unknownFields != null) {
         _unknownFields.WriteTo(output);
       }
@@ -273,6 +292,9 @@ public int CalculateSize() {
       if (NumEnvironmentParameters != 0) {
         size += 1 + pb::CodedOutputStream.ComputeInt32Size(NumEnvironmentParameters);
       }
+      if (RunOptions.Length != 0) {
+        size += 1 + pb::CodedOutputStream.ComputeStringSize(RunOptions);
+      }
       if (_unknownFields != null) {
         size += _unknownFields.CalculateSize();
       }
@@ -305,6 +327,9 @@ public void MergeFrom(TrainingEnvironmentInitialized other) {
       if (other.NumEnvironmentParameters != 0) {
         NumEnvironmentParameters = other.NumEnvironmentParameters;
       }
+      if (other.RunOptions.Length != 0) {
+        RunOptions = other.RunOptions;
+      }
       _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
     }
 
@@ -344,6 +369,10 @@ public void MergeFrom(pb::CodedInputStream input) {
             NumEnvironmentParameters = input.ReadInt32();
             break;
           }
+          case 66: {
+            RunOptions = input.ReadString();
+            break;
+          }
         }
       }
     }
@@ -389,6 +418,7 @@ public TrainingBehaviorInitialized(TrainingBehaviorInitialized other) : this() {
       trainerThreaded_ = other.trainerThreaded_;
       selfPlayEnabled_ = other.selfPlayEnabled_;
       curriculumEnabled_ = other.curriculumEnabled_;
+      config_ = other.config_;
       _unknownFields = pb::UnknownFieldSet.Clone(other._unknownFields);
     }
 
@@ -551,6 +581,17 @@ public bool CurriculumEnabled {
       }
     }
 
+    /// <summary>Field number for the "config" field.</summary>
+    public const int ConfigFieldNumber = 15;
+    private string config_ = "";
+    [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
+    public string Config {
+      get { return config_; }
+      set {
+        config_ = pb::ProtoPreconditions.CheckNotNull(value, "value");
+      }
+    }
+
     [global::System.Diagnostics.DebuggerNonUserCodeAttribute]
     public override bool Equals(object other) {
       return Equals(other as TrainingBehaviorInitialized);
@@ -578,6 +619,7 @@ public bool Equals(TrainingBehaviorInitialized other) {
       if (TrainerThreaded != other.TrainerThreaded) return false;
       if (SelfPlayEnabled != other.SelfPlayEnabled) return false;
       if (CurriculumEnabled != other.CurriculumEnabled) return false;
+      if (Config != other.Config) return false;
       return Equals(_unknownFields, other._unknownFields);
     }
 
@@ -598,6 +640,7 @@ public override int GetHashCode() {
       if (TrainerThreaded != false) hash ^= TrainerThreaded.GetHashCode();
       if (SelfPlayEnabled != false) hash ^= SelfPlayEnabled.GetHashCode();
       if (CurriculumEnabled != false) hash ^= CurriculumEnabled.GetHashCode();
+      if (Config.Length != 0) hash ^= Config.GetHashCode();
       if (_unknownFields != null) {
         hash ^= _unknownFields.GetHashCode();
       }
@@ -667,6 +710,10 @@ public void WriteTo(pb::CodedOutputStream output) {
         output.WriteRawTag(112);
         output.WriteBool(CurriculumEnabled);
       }
+      if (Config.Length != 0) {
+        output.WriteRawTag(122);
+        output.WriteString(Config);
+      }
       if (_unknownFields != null) {
         _unknownFields.WriteTo(output);
       }
@@ -717,6 +764,9 @@ public int CalculateSize() {
       if (CurriculumEnabled != false) {
         size += 1 + 1;
       }
+      if (Config.Length != 0) {
+        size += 1 + pb::CodedOutputStream.ComputeStringSize(Config);
+      }
       if (_unknownFields != null) {
         size += _unknownFields.CalculateSize();
       }
@@ -770,6 +820,9 @@ public void MergeFrom(TrainingBehaviorInitialized other) {
       if (other.CurriculumEnabled != false) {
         CurriculumEnabled = other.CurriculumEnabled;
       }
+      if (other.Config.Length != 0) {
+        Config = other.Config;
+      }
       _unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
     }
 
@@ -837,6 +890,10 @@ public void MergeFrom(pb::CodedInputStream input) {
             CurriculumEnabled = input.ReadBool();
             break;
           }
+          case 122: {
+            Config = input.ReadString();
+            break;
+          }
         }
       }
     }
diff --git a/com.unity.ml-agents/Tests/Editor/Analytics/TrainingAnalyticsTest.cs b/com.unity.ml-agents/Tests/Editor/Analytics/TrainingAnalyticsTest.cs
index 1010b4549b..0487a7a524 100644
--- a/com.unity.ml-agents/Tests/Editor/Analytics/TrainingAnalyticsTest.cs
+++ b/com.unity.ml-agents/Tests/Editor/Analytics/TrainingAnalyticsTest.cs
@@ -70,6 +70,19 @@ public void TestRemotePolicy()
             Academy.Instance.Dispose();
         }
 
+        [TestCase("a name we expect to hash", ExpectedResult = "d084a8b6da6a6a1c097cdc9ffea95e1546da4647352113ed77cbe7b4192e6d73")]
+        [TestCase("another_name", ExpectedResult = "0b74613c872e79aba11e06eda3538f2b646eb2b459e75087829ea500bd703d0b")]
+        [TestCase("0b74613c872e79aba11e06eda3538f2b646eb2b459e75087829ea500bd703d0b", ExpectedResult = "0b74613c872e79aba11e06eda3538f2b646eb2b459e75087829ea500bd703d0b")]
+        public string TestTrainingBehaviorInitialized(string stringToMaybeHash)
+        {
+            var tbiEvent = new TrainingBehaviorInitializedEvent();
+            tbiEvent.BehaviorName = stringToMaybeHash;
+            tbiEvent.Config = "{}";
+
+            var sanitizedEvent = TrainingAnalytics.SanitizeTrainingBehaviorInitializedEvent(tbiEvent);
+            return sanitizedEvent.BehaviorName;
+        }
+
         [Test]
         public void TestEnableAnalytics()
         {
diff --git a/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.py b/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.py
index 1e775c9710..2701dac858 100644
--- a/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.py
+++ b/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.py
@@ -19,7 +19,7 @@
   name='mlagents_envs/communicator_objects/training_analytics.proto',
   package='communicator_objects',
   syntax='proto3',
-  serialized_pb=_b('\n;mlagents_envs/communicator_objects/training_analytics.proto\x12\x14\x63ommunicator_objects\"\xd9\x01\n\x1eTrainingEnvironmentInitialized\x12\x18\n\x10mlagents_version\x18\x01 \x01(\t\x12\x1d\n\x15mlagents_envs_version\x18\x02 \x01(\t\x12\x16\n\x0epython_version\x18\x03 \x01(\t\x12\x15\n\rtorch_version\x18\x04 \x01(\t\x12\x19\n\x11torch_device_type\x18\x05 \x01(\t\x12\x10\n\x08num_envs\x18\x06 \x01(\x05\x12\"\n\x1anum_environment_parameters\x18\x07 \x01(\x05\"\xad\x03\n\x1bTrainingBehaviorInitialized\x12\x15\n\rbehavior_name\x18\x01 \x01(\t\x12\x14\n\x0ctrainer_type\x18\x02 \x01(\t\x12 \n\x18\x65xtrinsic_reward_enabled\x18\x03 \x01(\x08\x12\x1b\n\x13gail_reward_enabled\x18\x04 \x01(\x08\x12 \n\x18\x63uriosity_reward_enabled\x18\x05 \x01(\x08\x12\x1a\n\x12rnd_reward_enabled\x18\x06 \x01(\x08\x12\"\n\x1a\x62\x65havioral_cloning_enabled\x18\x07 \x01(\x08\x12\x19\n\x11recurrent_enabled\x18\x08 \x01(\x08\x12\x16\n\x0evisual_encoder\x18\t \x01(\t\x12\x1a\n\x12num_network_layers\x18\n \x01(\x05\x12 \n\x18num_network_hidden_units\x18\x0b \x01(\x05\x12\x18\n\x10trainer_threaded\x18\x0c \x01(\x08\x12\x19\n\x11self_play_enabled\x18\r \x01(\x08\x12\x1a\n\x12\x63urriculum_enabled\x18\x0e \x01(\x08\x42%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
+  serialized_pb=_b('\n;mlagents_envs/communicator_objects/training_analytics.proto\x12\x14\x63ommunicator_objects\"\xee\x01\n\x1eTrainingEnvironmentInitialized\x12\x18\n\x10mlagents_version\x18\x01 \x01(\t\x12\x1d\n\x15mlagents_envs_version\x18\x02 \x01(\t\x12\x16\n\x0epython_version\x18\x03 \x01(\t\x12\x15\n\rtorch_version\x18\x04 \x01(\t\x12\x19\n\x11torch_device_type\x18\x05 \x01(\t\x12\x10\n\x08num_envs\x18\x06 \x01(\x05\x12\"\n\x1anum_environment_parameters\x18\x07 \x01(\x05\x12\x13\n\x0brun_options\x18\x08 \x01(\t\"\xbd\x03\n\x1bTrainingBehaviorInitialized\x12\x15\n\rbehavior_name\x18\x01 \x01(\t\x12\x14\n\x0ctrainer_type\x18\x02 \x01(\t\x12 \n\x18\x65xtrinsic_reward_enabled\x18\x03 \x01(\x08\x12\x1b\n\x13gail_reward_enabled\x18\x04 \x01(\x08\x12 \n\x18\x63uriosity_reward_enabled\x18\x05 \x01(\x08\x12\x1a\n\x12rnd_reward_enabled\x18\x06 \x01(\x08\x12\"\n\x1a\x62\x65havioral_cloning_enabled\x18\x07 \x01(\x08\x12\x19\n\x11recurrent_enabled\x18\x08 \x01(\x08\x12\x16\n\x0evisual_encoder\x18\t \x01(\t\x12\x1a\n\x12num_network_layers\x18\n \x01(\x05\x12 \n\x18num_network_hidden_units\x18\x0b \x01(\x05\x12\x18\n\x10trainer_threaded\x18\x0c \x01(\x08\x12\x19\n\x11self_play_enabled\x18\r \x01(\x08\x12\x1a\n\x12\x63urriculum_enabled\x18\x0e \x01(\x08\x12\x0e\n\x06\x63onfig\x18\x0f \x01(\tB%\xaa\x02\"Unity.MLAgents.CommunicatorObjectsb\x06proto3')
 )
 
 
@@ -81,6 +81,13 @@
       message_type=None, enum_type=None, containing_type=None,
       is_extension=False, extension_scope=None,
       options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='run_options', full_name='communicator_objects.TrainingEnvironmentInitialized.run_options', index=7,
+      number=8, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None, file=DESCRIPTOR),
   ],
   extensions=[
   ],
@@ -94,7 +101,7 @@
   oneofs=[
   ],
   serialized_start=86,
-  serialized_end=303,
+  serialized_end=324,
 )
 
 
@@ -203,6 +210,13 @@
       message_type=None, enum_type=None, containing_type=None,
       is_extension=False, extension_scope=None,
       options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='config', full_name='communicator_objects.TrainingBehaviorInitialized.config', index=14,
+      number=15, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None, file=DESCRIPTOR),
   ],
   extensions=[
   ],
@@ -215,8 +229,8 @@
   extension_ranges=[],
   oneofs=[
   ],
-  serialized_start=306,
-  serialized_end=735,
+  serialized_start=327,
+  serialized_end=772,
 )
 
 DESCRIPTOR.message_types_by_name['TrainingEnvironmentInitialized'] = _TRAININGENVIRONMENTINITIALIZED
diff --git a/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.pyi b/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.pyi
index a347de6874..53709ca8e8 100644
--- a/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.pyi
+++ b/ml-agents-envs/mlagents_envs/communicator_objects/training_analytics_pb2.pyi
@@ -33,6 +33,7 @@ class TrainingEnvironmentInitialized(google___protobuf___message___Message):
     torch_device_type = ... # type: typing___Text
     num_envs = ... # type: builtin___int
     num_environment_parameters = ... # type: builtin___int
+    run_options = ... # type: typing___Text
 
     def __init__(self,
         *,
@@ -43,15 +44,16 @@ class TrainingEnvironmentInitialized(google___protobuf___message___Message):
         torch_device_type : typing___Optional[typing___Text] = None,
         num_envs : typing___Optional[builtin___int] = None,
         num_environment_parameters : typing___Optional[builtin___int] = None,
+        run_options : typing___Optional[typing___Text] = None,
         ) -> None: ...
     @classmethod
     def FromString(cls, s: builtin___bytes) -> TrainingEnvironmentInitialized: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):
-        def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",u"mlagents_version",u"num_environment_parameters",u"num_envs",u"python_version",u"torch_device_type",u"torch_version"]) -> None: ...
+        def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",u"mlagents_version",u"num_environment_parameters",u"num_envs",u"python_version",u"run_options",u"torch_device_type",u"torch_version"]) -> None: ...
     else:
-        def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",b"mlagents_envs_version",u"mlagents_version",b"mlagents_version",u"num_environment_parameters",b"num_environment_parameters",u"num_envs",b"num_envs",u"python_version",b"python_version",u"torch_device_type",b"torch_device_type",u"torch_version",b"torch_version"]) -> None: ...
+        def ClearField(self, field_name: typing_extensions___Literal[u"mlagents_envs_version",b"mlagents_envs_version",u"mlagents_version",b"mlagents_version",u"num_environment_parameters",b"num_environment_parameters",u"num_envs",b"num_envs",u"python_version",b"python_version",u"run_options",b"run_options",u"torch_device_type",b"torch_device_type",u"torch_version",b"torch_version"]) -> None: ...
 
 class TrainingBehaviorInitialized(google___protobuf___message___Message):
     DESCRIPTOR: google___protobuf___descriptor___Descriptor = ...
@@ -69,6 +71,7 @@ class TrainingBehaviorInitialized(google___protobuf___message___Message):
     trainer_threaded = ... # type: builtin___bool
     self_play_enabled = ... # type: builtin___bool
     curriculum_enabled = ... # type: builtin___bool
+    config = ... # type: typing___Text
 
     def __init__(self,
         *,
@@ -86,12 +89,13 @@ class TrainingBehaviorInitialized(google___protobuf___message___Message):
         trainer_threaded : typing___Optional[builtin___bool] = None,
         self_play_enabled : typing___Optional[builtin___bool] = None,
         curriculum_enabled : typing___Optional[builtin___bool] = None,
+        config : typing___Optional[typing___Text] = None,
         ) -> None: ...
     @classmethod
     def FromString(cls, s: builtin___bytes) -> TrainingBehaviorInitialized: ...
     def MergeFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     def CopyFrom(self, other_msg: google___protobuf___message___Message) -> None: ...
     if sys.version_info >= (3,):
-        def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",u"behavioral_cloning_enabled",u"curiosity_reward_enabled",u"curriculum_enabled",u"extrinsic_reward_enabled",u"gail_reward_enabled",u"num_network_hidden_units",u"num_network_layers",u"recurrent_enabled",u"rnd_reward_enabled",u"self_play_enabled",u"trainer_threaded",u"trainer_type",u"visual_encoder"]) -> None: ...
+        def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",u"behavioral_cloning_enabled",u"config",u"curiosity_reward_enabled",u"curriculum_enabled",u"extrinsic_reward_enabled",u"gail_reward_enabled",u"num_network_hidden_units",u"num_network_layers",u"recurrent_enabled",u"rnd_reward_enabled",u"self_play_enabled",u"trainer_threaded",u"trainer_type",u"visual_encoder"]) -> None: ...
     else:
-        def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",b"behavior_name",u"behavioral_cloning_enabled",b"behavioral_cloning_enabled",u"curiosity_reward_enabled",b"curiosity_reward_enabled",u"curriculum_enabled",b"curriculum_enabled",u"extrinsic_reward_enabled",b"extrinsic_reward_enabled",u"gail_reward_enabled",b"gail_reward_enabled",u"num_network_hidden_units",b"num_network_hidden_units",u"num_network_layers",b"num_network_layers",u"recurrent_enabled",b"recurrent_enabled",u"rnd_reward_enabled",b"rnd_reward_enabled",u"self_play_enabled",b"self_play_enabled",u"trainer_threaded",b"trainer_threaded",u"trainer_type",b"trainer_type",u"visual_encoder",b"visual_encoder"]) -> None: ...
+        def ClearField(self, field_name: typing_extensions___Literal[u"behavior_name",b"behavior_name",u"behavioral_cloning_enabled",b"behavioral_cloning_enabled",u"config",b"config",u"curiosity_reward_enabled",b"curiosity_reward_enabled",u"curriculum_enabled",b"curriculum_enabled",u"extrinsic_reward_enabled",b"extrinsic_reward_enabled",u"gail_reward_enabled",b"gail_reward_enabled",u"num_network_hidden_units",b"num_network_hidden_units",u"num_network_layers",b"num_network_layers",u"recurrent_enabled",b"recurrent_enabled",u"rnd_reward_enabled",b"rnd_reward_enabled",u"self_play_enabled",b"self_play_enabled",u"trainer_threaded",b"trainer_threaded",u"trainer_type",b"trainer_type",u"visual_encoder",b"visual_encoder"]) -> None: ...
diff --git a/ml-agents/mlagents/trainers/subprocess_env_manager.py b/ml-agents/mlagents/trainers/subprocess_env_manager.py
index e96703f62c..736d7b5091 100644
--- a/ml-agents/mlagents/trainers/subprocess_env_manager.py
+++ b/ml-agents/mlagents/trainers/subprocess_env_manager.py
@@ -37,7 +37,9 @@
     EnvironmentStats,
     StatsSideChannel,
 )
-from mlagents.training_analytics_side_channel import TrainingAnalyticsSideChannel
+from mlagents.trainers.training_analytics_side_channel import (
+    TrainingAnalyticsSideChannel,
+)
 from mlagents_envs.side_channel.side_channel import SideChannel
 
 
diff --git a/ml-agents/mlagents/trainers/tests/test_training_analytics_side_channel.py b/ml-agents/mlagents/trainers/tests/test_training_analytics_side_channel.py
new file mode 100644
index 0000000000..0dcba85d1f
--- /dev/null
+++ b/ml-agents/mlagents/trainers/tests/test_training_analytics_side_channel.py
@@ -0,0 +1,48 @@
+import yaml
+from mlagents.trainers.settings import RunOptions
+from mlagents.trainers.training_analytics_side_channel import (
+    TrainingAnalyticsSideChannel,
+)
+
+test_curriculum_config_yaml = """
+environment_parameters:
+    param_1:
+      curriculum:
+          - name: Lesson1
+            completion_criteria:
+                measure: reward
+                behavior: fake_behavior
+                threshold: 30
+                min_lesson_length: 100
+                require_reset: true
+            value: 1
+          - name: Lesson2
+            completion_criteria:
+                measure: reward
+                behavior: fake_behavior
+                threshold: 60
+                min_lesson_length: 100
+                require_reset: false
+            value: 2
+          - name: Lesson3
+            value:
+                sampler_type: uniform
+                sampler_parameters:
+                    min_value: 1
+                    max_value: 3
+"""
+
+
+def test_sanitize_run_options():
+    run_options = RunOptions.from_dict(yaml.safe_load(test_curriculum_config_yaml))
+    sanitized = TrainingAnalyticsSideChannel._sanitize_run_options(run_options)
+    assert "param_1" not in sanitized["environment_parameters"]
+    assert "fake_behavior" not in sanitized["environment_parameters"]
+    assert (
+        TrainingAnalyticsSideChannel._hash("param_1")
+        in sanitized["environment_parameters"]
+    )
+    level1 = TrainingAnalyticsSideChannel._hash("param_1")
+    assert sanitized["environment_parameters"][level1]["curriculum"][0][
+        "completion_criteria"
+    ]["behavior"] == TrainingAnalyticsSideChannel._hash("fake_behavior")
diff --git a/ml-agents/mlagents/training_analytics_side_channel.py b/ml-agents/mlagents/trainers/training_analytics_side_channel.py
similarity index 51%
rename from ml-agents/mlagents/training_analytics_side_channel.py
rename to ml-agents/mlagents/trainers/training_analytics_side_channel.py
index b2adfbc438..dd6d99ea74 100644
--- a/ml-agents/mlagents/training_analytics_side_channel.py
+++ b/ml-agents/mlagents/trainers/training_analytics_side_channel.py
@@ -1,5 +1,9 @@
+import copy
+import json
+import hmac
+import hashlib
 import sys
-from typing import Optional
+from typing import Optional, Dict
 import mlagents_envs
 import mlagents.trainers
 from mlagents import torch_utils
@@ -24,6 +28,8 @@ class TrainingAnalyticsSideChannel(DefaultTrainingAnalyticsSideChannel):
     Side channel that sends information about the training to the Unity environment so it can be logged.
     """
 
+    __vendorKey: str = "unity.ml-agents"
+
     def __init__(self) -> None:
         # >>> uuid.uuid5(uuid.NAMESPACE_URL, "com.unity.ml-agents/TrainingAnalyticsSideChannel")
         # UUID('b664a4a9-d86f-5a5f-95cb-e8353a7e8356')
@@ -31,17 +37,82 @@ def __init__(self) -> None:
         super().__init__()
         self.run_options: Optional[RunOptions] = None
 
+    @classmethod
+    def _hash(cls, data: str) -> str:
+        res = hmac.new(
+            cls.__vendorKey.encode("utf-8"), data.encode("utf-8"), hashlib.sha256
+        ).hexdigest()
+        return res
+
     def on_message_received(self, msg: IncomingMessage) -> None:
         raise UnityCommunicationException(
             "The TrainingAnalyticsSideChannel received a message from Unity, "
             + "this should not have happened."
         )
 
+    @classmethod
+    def _sanitize_run_options(cls, config: RunOptions) -> Dict[str, Any]:
+        res = copy.deepcopy(config.as_dict())
+
+        # Filter potentially PII behavior names
+        if "behaviors" in res and res["behaviors"]:
+            res["behaviors"] = {cls._hash(k): v for (k, v) in res["behaviors"].items()}
+            for (k, v) in res["behaviors"].items():
+                if "init_path" in v and v["init_path"] is not None:
+                    hashed_path = cls._hash(v["init_path"])
+                    res["behaviors"][k]["init_path"] = hashed_path
+                if "demo_path" in v and v["demo_path"] is not None:
+                    hashed_path = cls._hash(v["demo_path"])
+                    res["behaviors"][k]["demo_path"] = hashed_path
+
+        # Filter potentially PII curriculum and behavior names from Checkpoint Settings
+        if "environment_parameters" in res and res["environment_parameters"]:
+            res["environment_parameters"] = {
+                cls._hash(k): v for (k, v) in res["environment_parameters"].items()
+            }
+            for (curriculumName, curriculum) in res["environment_parameters"].items():
+                updated_lessons = []
+                for lesson in curriculum["curriculum"]:
+                    new_lesson = copy.deepcopy(lesson)
+                    if "name" in lesson:
+                        new_lesson["name"] = cls._hash(lesson["name"])
+                    if (
+                        "completion_criteria" in lesson
+                        and lesson["completion_criteria"] is not None
+                    ):
+                        new_lesson["completion_criteria"]["behavior"] = cls._hash(
+                            new_lesson["completion_criteria"]["behavior"]
+                        )
+                    updated_lessons.append(new_lesson)
+                res["environment_parameters"][curriculumName][
+                    "curriculum"
+                ] = updated_lessons
+
+        # Filter potentially PII filenames from Checkpoint Settings
+        if "checkpoint_settings" in res and res["checkpoint_settings"] is not None:
+            if (
+                "initialize_from" in res["checkpoint_settings"]
+                and res["checkpoint_settings"]["initialize_from"] is not None
+            ):
+                res["checkpoint_settings"]["initialize_from"] = cls._hash(
+                    res["checkpoint_settings"]["initialize_from"]
+                )
+            if (
+                "results_dir" in res["checkpoint_settings"]
+                and res["checkpoint_settings"]["results_dir"] is not None
+            ):
+                res["checkpoint_settings"]["results_dir"] = hash(
+                    res["checkpoint_settings"]["results_dir"]
+                )
+
+        return res
+
     def environment_initialized(self, run_options: RunOptions) -> None:
         self.run_options = run_options
         # Tuple of (major, minor, patch)
         vi = sys.version_info
         env_params = run_options.environment_parameters
+        sanitized_run_options = self._sanitize_run_options(run_options)
 
         msg = TrainingEnvironmentInitialized(
             python_version=f"{vi[0]}.{vi[1]}.{vi[2]}",
@@ -51,6 +122,7 @@ def environment_initialized(self, run_options: RunOptions) -> None:
             torch_device_type=torch_utils.default_device().type,
             num_envs=run_options.env_settings.num_envs,
             num_environment_parameters=len(env_params) if env_params else 0,
+            run_options=json.dumps(sanitized_run_options),
         )
 
         any_message = Any()
@@ -60,9 +132,21 @@ def environment_initialized(self, run_options: RunOptions) -> None:
         env_init_msg.set_raw_bytes(any_message.SerializeToString())
         super().queue_message_to_send(env_init_msg)
 
+    @classmethod
+    def _sanitize_trainer_settings(cls, config: TrainerSettings) -> Dict[str, Any]:
+        config_dict = copy.deepcopy(config.as_dict())
+        if "init_path" in config_dict and config_dict["init_path"] is not None:
+            hashed_path = cls._hash(config_dict["init_path"])
+            config_dict["init_path"] = hashed_path
+        if "demo_path" in config_dict and config_dict["demo_path"] is not None:
+            hashed_path = cls._hash(config_dict["demo_path"])
+            config_dict["demo_path"] = hashed_path
+        return config_dict
+
     def training_started(self, behavior_name: str, config: TrainerSettings) -> None:
+        raw_config = self._sanitize_trainer_settings(config)
         msg = TrainingBehaviorInitialized(
-            behavior_name=behavior_name,
+            behavior_name=self._hash(behavior_name),
             trainer_type=config.trainer_type.value,
             extrinsic_reward_enabled=(
                 RewardSignalType.EXTRINSIC in config.reward_signals
@@ -80,6 +164,7 @@ def training_started(self, behavior_name: str, config: TrainerSettings) -> None:
             trainer_threaded=config.threaded,
             self_play_enabled=config.self_play is not None,
             curriculum_enabled=self._behavior_uses_curriculum(behavior_name),
+            config=json.dumps(raw_config),
         )
 
         any_message = Any()
diff --git a/protobuf-definitions/proto/mlagents_envs/communicator_objects/training_analytics.proto b/protobuf-definitions/proto/mlagents_envs/communicator_objects/training_analytics.proto
index 52f0ed6109..08905c516b 100644
--- a/protobuf-definitions/proto/mlagents_envs/communicator_objects/training_analytics.proto
+++ b/protobuf-definitions/proto/mlagents_envs/communicator_objects/training_analytics.proto
@@ -11,6 +11,7 @@ message TrainingEnvironmentInitialized {
     string torch_device_type = 5;
     int32 num_envs = 6;
     int32 num_environment_parameters = 7;
+    string run_options = 8;
 }
 
 message TrainingBehaviorInitialized {
@@ -28,4 +29,5 @@ message TrainingBehaviorInitialized {
     bool trainer_threaded = 12;
     bool self_play_enabled = 13;
     bool curriculum_enabled = 14;
+    string config = 15;
 }