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racesm/MLAgents/config/sac/3DBallHard.yaml
2024-04-20 14:45:47 +02:00

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YAML

behaviors:
3DBallHard:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 256
buffer_size: 500000
buffer_init_steps: 0
tau: 0.005
steps_per_update: 10.0
save_replay_buffer: false
init_entcoef: 1.0
reward_signal_steps_per_update: 10.0
network_settings:
normalize: true
hidden_units: 128
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 500000
time_horizon: 1000
summary_freq: 12000