diff --git a/configs/whirl_baselines_v2/27m_vs_30m.yaml b/configs/whirl_baselines_v2/27m_vs_30m.yaml
new file mode 100644
index 00000000..8204d344
--- /dev/null
+++ b/configs/whirl_baselines_v2/27m_vs_30m.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/27m_vs_30_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: 27m_vs_30m_cnn
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 4
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: 27m_vs_30m
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file
diff --git a/configs/whirl_baselines_v2/3s5z_vs_3s6z.yaml b/configs/whirl_baselines_v2/3s5z_vs_3s6z.yaml
new file mode 100644
index 00000000..73ac8272
--- /dev/null
+++ b/configs/whirl_baselines_v2/3s5z_vs_3s6z.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/3s5z_vs_3s6z_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: 3s5z_vs_3s6zaa
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 2
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: 3s5z_vs_3s6z
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file
diff --git a/configs/whirl_baselines_v2/3s_vs_5z.yaml b/configs/whirl_baselines_v2/3s_vs_5z.yaml
new file mode 100644
index 00000000..39579613
--- /dev/null
+++ b/configs/whirl_baselines_v2/3s_vs_5z.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/3s_vs_5z_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: 3s_vs_5z_cnn
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 2
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: 3s_vs_5z
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file
diff --git a/configs/whirl_baselines_v2/5m_vs_6m.yaml b/configs/whirl_baselines_v2/5m_vs_6m.yaml
new file mode 100644
index 00000000..d0db29bd
--- /dev/null
+++ b/configs/whirl_baselines_v2/5m_vs_6m.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/5m_vs_6m_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: 5m_vs_6m_bias
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 2
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: 5m_vs_6m
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file
diff --git a/configs/whirl_baselines_v2/6h_vs_8z.yaml b/configs/whirl_baselines_v2/6h_vs_8z.yaml
new file mode 100644
index 00000000..08522a12
--- /dev/null
+++ b/configs/whirl_baselines_v2/6h_vs_8z.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/6h_vs_8z_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: 6h_vs_8z_cnn
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 2
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: 6h_vs_8z
+      frames: 4
+      transpose: True
+      random_invalid_step: False
diff --git a/configs/whirl_baselines_v2/MMM2.yaml b/configs/whirl_baselines_v2/MMM2.yaml
new file mode 100644
index 00000000..4c85c61c
--- /dev/null
+++ b/configs/whirl_baselines_v2/MMM2.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/MMM_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: MMM2_cnn
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 4
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: MMM2
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file
diff --git a/configs/whirl_baselines_v2/corridor.yaml b/configs/whirl_baselines_v2/corridor.yaml
new file mode 100644
index 00000000..671fad52
--- /dev/null
+++ b/configs/whirl_baselines_v2/corridor.yaml
@@ -0,0 +1,81 @@
+label: ""
+name: ""
+params:
+  algo:
+    name: a2c_discrete
+
+  model:
+    name: discrete_a2c
+
+  load_checkpoint: False
+  load_path: 'nn/corridor_cnn'
+
+  network:
+    name: actor_critic
+    separate: True
+    #normalization: layer_norm
+    space: 
+      discrete:
+      
+    cnn:
+      type: conv1d
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2
+      regularizer:
+        name: 'None'
+      convs:    
+        - filters: 64
+          kernel_size: 3
+          strides: 2
+          padding: 'same'
+        - filters: 128
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+        - filters: 256
+          kernel_size: 3
+          strides: 1
+          padding: 'valid'
+    mlp:
+      units: [256, 128]
+      activation: relu
+      initializer:
+        name: variance_scaling_initializer
+        scale: 2 
+      regularizer:
+        name:  'None'
+  config:
+    name: corridor_cnn
+    reward_shaper:
+        scale_value: 1
+    normalize_advantage: True
+    gamma: 0.99
+    tau: 0.95
+    learning_rate: 1e-4
+    score_to_win: 20
+    grad_norm: 0.5
+    entropy_coef: 0.005
+    truncate_grads: True
+    env_name:  smac_cnn
+    ppo: true
+    e_clip: 0.2
+    clip_value: True
+    num_actors: 8
+    steps_num: 128
+    minibatch_size: 4096
+    mini_epochs: 1
+    critic_coef: 2
+    lr_schedule:  None
+    lr_threshold: 0.05
+    normalize_input: False
+    seq_len: 2
+    use_action_masks: True
+    ignore_dead_batches : False
+
+    env_config:
+      name: corridor
+      frames: 4
+      transpose: True
+      random_invalid_step: False
\ No newline at end of file