reacher multi seeds

config/sac/Reacher.yaml

     trainer_type: sac
     hyperparameters:
       learning_rate: 0.0003
-      learning_rate_schedule: constant
-      batch_size: 128
-      buffer_size: 500000
+      learning_rate_schedule: linear
+      batch_size: 256
+      buffer_size: 6000000
       buffer_init_steps: 0
       tau: 0.005
       steps_per_update: 20.0
         gamma: 0.99
         strength: 1.0
     keep_checkpoints: 5
-    max_steps: 20000000
+    max_steps: 6000000
     time_horizon: 1000
     summary_freq: 60000
     threaded: true

config/sac_transfer/ReacherTransfer.yaml

       train_model: false
       load_action: true
       train_action: false
-      transfer_path: "results/sacmod_reacher-qr/Reacher"
+      transfer_path: "results/reacher-qr-s0/Reacher"
     network_settings:
       normalize: true
       hidden_units: 128

config/sac_transfer/ReacherTransfer1.yaml

+behaviors:
+  Reacher:
+    trainer_type: sac_transfer
+    hyperparameters:
+      learning_rate: 0.0003
+      learning_rate_schedule: constant
+      model_schedule: constant
+      batch_size: 256
+      buffer_size: 6000000
+      buffer_init_steps: 0
+      tau: 0.005
+      steps_per_update: 20.0
+      save_replay_buffer: false
+      init_entcoef: 1.0
+      reward_signal_steps_per_update: 20.0
+      encoder_layers: 1
+      policy_layers: 2
+      forward_layers: 0
+      value_layers: 2
+      action_layers: 1
+      feature_size: 64
+      action_feature_size: 16
+      separate_policy_train: true
+      separate_policy_net: true
+      reuse_encoder: false
+      in_epoch_alter: false
+      in_batch_alter: true
+      use_op_buffer: false
+      use_var_predict: true
+      with_prior: false
+      predict_return: true
+      use_bisim: false
+      use_transfer: true
+      load_model: true
+      train_model: false
+      load_action: true
+      train_action: false
+      transfer_path: "results/reacher-qr-s1/Reacher"
+    network_settings:
+      normalize: true
+      hidden_units: 128
+      num_layers: 2
+      vis_encode_type: simple
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+    keep_checkpoints: 5
+    max_steps: 6000000
+    time_horizon: 1000
+    summary_freq: 60000
+    threaded: true

config/sac_transfer/ReacherTransfer2.yaml

+behaviors:
+  Reacher:
+    trainer_type: sac_transfer
+    hyperparameters:
+      learning_rate: 0.0003
+      learning_rate_schedule: constant
+      model_schedule: constant
+      batch_size: 256
+      buffer_size: 6000000
+      buffer_init_steps: 0
+      tau: 0.005
+      steps_per_update: 20.0
+      save_replay_buffer: false
+      init_entcoef: 1.0
+      reward_signal_steps_per_update: 20.0
+      encoder_layers: 1
+      policy_layers: 2
+      forward_layers: 0
+      value_layers: 2
+      action_layers: 1
+      feature_size: 64
+      action_feature_size: 16
+      separate_policy_train: true
+      separate_policy_net: true
+      reuse_encoder: false
+      in_epoch_alter: false
+      in_batch_alter: true
+      use_op_buffer: false
+      use_var_predict: true
+      with_prior: false
+      predict_return: true
+      use_bisim: false
+      use_transfer: true
+      load_model: true
+      train_model: false
+      load_action: true
+      train_action: false
+      transfer_path: "results/reacher-qr-s2/Reacher"
+    network_settings:
+      normalize: true
+      hidden_units: 128
+      num_layers: 2
+      vis_encode_type: simple
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+    keep_checkpoints: 5
+    max_steps: 6000000
+    time_horizon: 1000
+    summary_freq: 60000
+    threaded: true

config/sac_transfer/ReacherTransfer3.yaml

+behaviors:
+  Reacher:
+    trainer_type: sac_transfer
+    hyperparameters:
+      learning_rate: 0.0003
+      learning_rate_schedule: constant
+      model_schedule: constant
+      batch_size: 256
+      buffer_size: 6000000
+      buffer_init_steps: 0
+      tau: 0.005
+      steps_per_update: 20.0
+      save_replay_buffer: false
+      init_entcoef: 1.0
+      reward_signal_steps_per_update: 20.0
+      encoder_layers: 1
+      policy_layers: 2
+      forward_layers: 0
+      value_layers: 2
+      action_layers: 1
+      feature_size: 64
+      action_feature_size: 16
+      separate_policy_train: true
+      separate_policy_net: true
+      reuse_encoder: false
+      in_epoch_alter: false
+      in_batch_alter: true
+      use_op_buffer: false
+      use_var_predict: true
+      with_prior: false
+      predict_return: true
+      use_bisim: false
+      use_transfer: true
+      load_model: true
+      train_model: false
+      load_action: true
+      train_action: false
+      transfer_path: "results/reacher-qr-s3/Reacher"
+    network_settings:
+      normalize: true
+      hidden_units: 128
+      num_layers: 2
+      vis_encode_type: simple
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+    keep_checkpoints: 5
+    max_steps: 6000000
+    time_horizon: 1000
+    summary_freq: 60000
+    threaded: true

config/sac_transfer/ReacherTransfer4.yaml

+behaviors:
+  Reacher:
+    trainer_type: sac_transfer
+    hyperparameters:
+      learning_rate: 0.0003
+      learning_rate_schedule: constant
+      model_schedule: constant
+      batch_size: 256
+      buffer_size: 6000000
+      buffer_init_steps: 0
+      tau: 0.005
+      steps_per_update: 20.0
+      save_replay_buffer: false
+      init_entcoef: 1.0
+      reward_signal_steps_per_update: 20.0
+      encoder_layers: 1
+      policy_layers: 2
+      forward_layers: 0
+      value_layers: 2
+      action_layers: 1
+      feature_size: 64
+      action_feature_size: 16
+      separate_policy_train: true
+      separate_policy_net: true
+      reuse_encoder: false
+      in_epoch_alter: false
+      in_batch_alter: true
+      use_op_buffer: false
+      use_var_predict: true
+      with_prior: false
+      predict_return: true
+      use_bisim: false
+      use_transfer: true
+      load_model: true
+      train_model: false
+      load_action: true
+      train_action: false
+      transfer_path: "results/reacher-qr-s4/Reacher"
+    network_settings:
+      normalize: true
+      hidden_units: 128
+      num_layers: 2
+      vis_encode_type: simple
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+    keep_checkpoints: 5
+    max_steps: 6000000
+    time_horizon: 1000
+    summary_freq: 60000
+    threaded: true