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behaviors:
Pyramids:
trainer_type: ppo
time_horizon: 128
max_steps: 1.0e7
hyperparameters:
batch_size: 128
beta: 0.01
buffer_size: 2048
epsilon: 0.2
lambd: 0.95
learning_rate: 0.0003
num_epoch: 3
network_settings:
num_layers: 2
normalize: false
hidden_units: 512
reward_signals:
extrinsic:
strength: 1.0
gamma: 0.99
curiosity:
strength: 0.02
gamma: 0.99
network_settings:
hidden_units: 256
gail:
strength: 0.01
gamma: 0.99
demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
behavioral_cloning:
demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
strength: 0.5
steps: 150000
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