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default_settings:
trainer_type: ppo
hyperparameters:
batch_size: 16
buffer_size: 120
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.99
num_epoch: 3
learning_rate_schedule: constant
network_settings:
normalize: true
hidden_units: 256
num_layers: 4
vis_encode_type: match3
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 5000000
time_horizon: 128
summary_freq: 10000
behaviors:
Match3SimpleHeuristic:
# Settings can be very simple since we don't care about actually training the model
trainer_type: ppo
hyperparameters:
batch_size: 16
buffer_size: 120
network_settings:
hidden_units: 4
num_layers: 1
max_steps: 5000000
summary_freq: 10000
Match3SmartHeuristic:
# Settings can be very simple since we don't care about actually training the model
trainer_type: ppo
hyperparameters:
batch_size: 16
buffer_size: 120
network_settings:
hidden_units: 4
num_layers: 1
max_steps: 5000000
summary_freq: 10000
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