crawler: max episode length=1000; new config: 1 forward layer

Project/Assets/ML-Agents/Examples/Crawler/Prefabs/Crawler.prefab

   agentParameters:
     maxStep: 0
   hasUpgradedFromAgentParameters: 1
-  MaxStep: 5000
+  MaxStep: 1000
   maximumWalkingSpeed: 999
   target: {fileID: 0}
   targetSpawnRadius: 40

Project/Assets/ML-Agents/Examples/Crawler/Scenes/CrawlerStaticTarget.unity

       propertyPath: m_LocalEulerAnglesHint.z
       value: 0
       objectReference: {fileID: 0}
+    - target: {fileID: 3386028169429758298, guid: 1b9d167a4e71146a883212e4f08bda88,
+        type: 3}
+      propertyPath: m_Model
+      value: 
+      objectReference: {fileID: 11400000, guid: 2ddbe780c2a664a8db253b5eef2c21dc,
+        type: 3}
     m_RemovedComponents: []
   m_SourcePrefab: {fileID: 100100000, guid: 1b9d167a4e71146a883212e4f08bda88, type: 3}
 --- !u!1001 &680193204

Project/Assets/ML-Agents/Examples/OldCrawler/Prefabs/OldCrawler.prefab

   agentParameters:
     maxStep: 0
   hasUpgradedFromAgentParameters: 1
-  MaxStep: 5000
+  MaxStep: 1000
   target: {fileID: 0}
   ground: {fileID: 0}
   detectTargets: 0

Project/Assets/ML-Agents/Examples/OldCrawler/Scenes/OldCrawlerStaticTarget.unity

       propertyPath: m_LocalEulerAnglesHint.z
       value: 0
       objectReference: {fileID: 0}
+    - target: {fileID: 4245501741859669186, guid: a1a421bfb42ce4b29b585c08752f03a7,
+        type: 3}
+      propertyPath: m_Model
+      value: 
+      objectReference: {fileID: 11400000, guid: 06e8d119a177741a0904878e0132931b,
+        type: 3}
     m_RemovedComponents: []
   m_SourcePrefab: {fileID: 100100000, guid: a1a421bfb42ce4b29b585c08752f03a7, type: 3}
 --- !u!1001 &943263318

config/sac_transfer/CrawlerStatic.yaml

       save_replay_buffer: false
       init_entcoef: 1.0
       reward_signal_steps_per_update: 20.0
-      encoder_layers: 3
-      policy_layers: 0
-      forward_layers: 0
-      value_layers: 0
-      feature_size: 512
+      encoder_layers: 2
+      policy_layers: 1
+      forward_layers: 1
+      value_layers: 2
+      feature_size: 128
-      action_feature_size: 256
+      action_feature_size: 128
       separate_policy_train: true
       separate_model_train: true
       # separate_value_net: true

config/sac_transfer/CrawlerStaticTransfer.yaml

       save_replay_buffer: false
       init_entcoef: 1.0
       reward_signal_steps_per_update: 20.0
-      encoder_layers: 3
-      policy_layers: 0
-      forward_layers: 0
+      encoder_layers: 2
+      policy_layers: 1
+      forward_layers: 1
-      feature_size: 300
+      feature_size: 128
       action_layers: 2
       action_feature_size: 128
       separate_policy_train: true
       train_model: false
       load_action: true
       train_action: false
-      transfer_path: "results/oldcs-f300/CrawlerStatic"
+      transfer_path: "results/oldcs-m1/CrawlerStatic"
     network_settings:
       normalize: true
       hidden_units: 512

ml-agents/mlagents/trainers/sac_transfer/network.py

             self.q1_heads, self.q2_heads, self.q1, self.q2 = self.create_q_heads(
                 self.stream_names,
                 hidden_q,
-                self.num_layers+2,
+                self.num_layers,
                 self.h_size,
                 self.join_scopes(scope, "q"),
             )
-                self.num_layers+2,
+                self.num_layers,
                 self.h_size,
                 self.join_scopes(scope, "q"),
                 reuse=True,