ML-agents config.yaml file seems incorrect when I want to train 2 brains

Hello!

I wanted to train 2 types of agents simultaneously in a competitive setting, but I can't start training on 2 behaviours. My .yaml should be correct, I even copied some examples from to official repository to see if I misconfigured something but still says it is incorrect. I need some help in it please, there is the config. Thanks in advance!

 default_settings: null
 behaviors: 
    Builder:
     trainer_type: poca
     hyperparameters:
       batch_size: 2048
       buffer_size: 20480
       learning_rate: 0.0003
       beta: 0.005
       epsilon: 0.2
       lambd: 0.95
       num_epoch: 3
       learning_rate_schedule: constant
     network_settings:
       normalize: false
       hidden_units: 512
       num_layers: 2
       vis_encode_type: simple
     reward_signals:
       extrinsic:
         gamma: 0.99
         strength: 1.0
     keep_checkpoints: 5
     max_steps: 30000000
     time_horizon: 1000
     summary_freq: 10000
     self_play:
       save_steps: 50000
       team_change: 200000
       swap_steps: 1000
       window: 10
       play_against_latest_model_ratio: 0.5
       initial_elo: 1200.0
   Destroyer:
     trainer_type: poca
     hyperparameters:
       batch_size: 2048
       buffer_size: 20480
       learning_rate: 0.0003
       beta: 0.005
       epsilon: 0.2
       lambd: 0.95
       num_epoch: 3
       learning_rate_schedule: constant
     network_settings:
       normalize: false
       hidden_units: 512
       num_layers: 2
       vis_encode_type: simple
     reward_signals:
       extrinsic:
         gamma: 0.99
         strength: 1.0
     keep_checkpoints: 5
     max_steps: 30000000
     time_horizon: 1000
     summary_freq: 10000
     self_play:
       save_steps: 50000
       team_change: 200000
       swap_steps: 4000
       window: 10
       play_against_latest_model_ratio: 0.5
       initial_elo: 1200.0
 env_settings:
   env_path: null
   env_args: null
   base_port: 5005
   num_envs: 1
   seed: -1
 engine_settings:
   width: 84
   height: 84
   quality_level: 5
   time_scale: 20
   target_frame_rate: -1
   capture_frame_rate: 60
   no_graphics: false
 environment_parameters: null
 checkpoint_settings:
   run_id: test
   initialize_from: null
   load_model: false
   resume: false
   force: false
   train_model: false
   inference: false
   results_dir: results
 torch_settings:
   device: null
 debug: false