fix commands for cloud training

config/ppo_transfer/CrawlerStatic.yaml

       lambd: 0.95
       num_epoch: 3
       learning_rate_schedule: linear
+      encoder_layers: 2
+      policy_layers: 1
     network_settings:
       normalize: true
       hidden_units: 512

ml-agents/mlagents/trainers/learn.py

         run_seed = np.random.randint(0, 10000)
     run_training(run_seed, options)
     if options.behaviors.transfer:
-        os.system('mlagents-learn config/ppo_transfer/3DBallHard.yaml --env=/unity-volume/3dballhard --num-envs=4 --force')
+        os.system('mlagents-learn config/ppo_transfer/3DBallHard.yaml --run-id=hardball-transfer --env=/unity-volume/3dballhard --num-envs=4 --force')
 
 
 def main():

ml-agents/mlagents/trainers/policy/transfer_policy.py

                     else:
                         predict_distribution = GaussianEncoderDistribution(
                                 hidden_stream,
-                                feature_sizex
+                                feature_size
                             )
 
                     predict = predict_distribution.sample()