use target

config/sac_transfer/3DBall.yaml

       separate_policy_train: true
       # separate_value_train: true
       separate_model_train: true
-      reuse_encoder: true
+      reuse_encoder: false
       in_epoch_alter: false
       in_batch_alter: true
       use_op_buffer: false

config/sac_transfer/3DBallHard.yaml

       separate_policy_train: true
       # separate_value_train: true
       separate_model_train: true
-      reuse_encoder: true
+      reuse_encoder: false
       in_epoch_alter: false
       in_batch_alter: true
       use_op_buffer: false

config/sac_transfer/3DBallHardTransfer.yaml

       # separate_value_net: true
       separate_policy_train: true
       # separate_value_train: true
-      reuse_encoder: true
+      reuse_encoder: false
       in_epoch_alter: false
       in_batch_alter: false
       use_op_buffer: false
       use_transfer: true
       load_model: true
       train_model: false
-      transfer_path: "results/ball/3DBall"
+      transfer_path: "results/ball-targ/3DBall"
     network_settings:
       normalize: true
       hidden_units: 64

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

             self.processed_vector_in, 
             vis_encode_type,
             encoder_layers=encoder_layers,
-            scope="encoding",
+            scope="target_enc",
             reuse=True
         )
         if separate_train: