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behaviors:
Kyle:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 1000
buffer_size: 1000000
tau: 0.005
steps_per_update: 30.0
init_entcoef: 1.0
reward_signal_steps_per_update: 30.0
network_settings:
normalize: true
hidden_units: 256
num_layers: 3
vis_encode_type: simple
memory:
sequence_length: 1000
memory_size: 256
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
curiosity:
strength: 0.1
gamma: 0.995
network_settings:
hidden_units: 256
learning_rate: 0.0001
keep_checkpoints: 40
checkpoint_interval: 500000
max_steps: 20000000
time_horizon: 1000
summary_freq: 10000
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