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83 行
2.0 KiB
83 行
2.0 KiB
# TouchCube:
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# trainer: sac
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# hyperparameters:
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# batch_size: 128
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# buffer_size: 50000
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# buffer_init_steps: 0
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# hidden_units: 128
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# init_entcoef: 1.0
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# learning_rate: 3.0e-4
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# learning_rate_schedule: constant
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# max_steps: 5.0e5
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# memory_size: 128
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# normalize: false
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# num_update: 1
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# train_interval: 1
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# steps_per_update: 1
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# num_layers: 2
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# time_horizon: 64
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# sequence_length: 64
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# summary_freq: 5000
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# tau: 0.005
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# use_recurrent: false
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# vis_encode_type: simple
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# reward_signals:
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# extrinsic:
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# strength: 1.0
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# gamma: 0.95
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behaviors:
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TouchCube:
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trainer_type: ppo
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hyperparameters:
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batch_size: 512 #2048
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buffer_size: 5120 #20480
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learning_rate: 0.0003
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beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: linear
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network_settings:
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normalize: true
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hidden_units: 512
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num_layers: 3
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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gamma: 0.995
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strength: 1.0
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output_path: default
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keep_checkpoints: 5
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max_steps: 20000000
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time_horizon: 500 #1000
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summary_freq: 30000
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threaded: true
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# behaviors:
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# TouchCube:
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# trainer_type: sac
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# hyperparameters:
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# learning_rate: 0.0003
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# learning_rate_schedule: constant
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# batch_size: 256
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# buffer_size: 500000
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# buffer_init_steps: 0
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# tau: 0.005
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# steps_per_update: 30.0
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# save_replay_buffer: false
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# init_entcoef: 1.0
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# reward_signal_steps_per_update: 30.0
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# network_settings:
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# normalize: true
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# hidden_units: 512
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# num_layers: 4
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# vis_encode_type: simple
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# reward_signals:
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# extrinsic:
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# gamma: 0.995
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# strength: 1.0
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# output_path: default
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# keep_checkpoints: 5
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# max_steps: 20000000
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# time_horizon: 1000
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# summary_freq: 30000
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# threaded: true
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