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44 行
1.1 KiB
44 行
1.1 KiB
behaviors:
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CrawlerStatic:
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trainer_type: ppo_transfer
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hyperparameters:
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batch_size: 2024
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buffer_size: 20240
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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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encoder_layers: 2
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policy_layers: 2
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forward_layers: 2
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value_layers: 3
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feature_size: 128
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reuse_encoder: true
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in_epoch_alter: true
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use_op_buffer: true
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use_var_predict: true
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with_prior: true
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predict_return: true
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# use_bisim: true
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separate_value_net: true
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use_transfer: true
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load_policy: false
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load_value: false
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train_model: false
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transfer_path: "results/new_crawler_single_2-2-3o-2_rew_varp_f128/CrawlerStatic"
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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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keep_checkpoints: 5
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max_steps: 10000000
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time_horizon: 1000
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summary_freq: 30000
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threaded: true
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