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poca-SoccerTwos

Reinforcement Learning
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ML-Agents-SoccerTwos
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poca-SoccerTwos
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behaviors:
  SoccerTwos:
    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
      beta_schedule: constant
      epsilon_schedule: constant
    checkpoint_interval: 500000
    network_settings:
      normalize: false
      hidden_units: 512
      num_layers: 2
      vis_encode_type: simple
      memory: null
      goal_conditioning_type: hyper
      deterministic: false
    reward_signals:
      extrinsic:
        gamma: 0.99
        strength: 1.0
        network_settings: 
         normalize: false
         hidden_units: 128
         num_layers: 2
         vis_encode_type: simple
         memory: null
         goal_conditioning_type: hyper
         deterministic: false
    keep_checkpoints: 5
    max_steps: 10500000
    time_horizon: 1000
    summary_freq: 10000
    self_play:
      save_steps: 50000
      team_change: 200000
      swap_steps: 2000
      window: 10
      play_against_latest_model_ratio: 0.5
      initial_elo: 1200.0