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68 行
1.5 KiB
68 行
1.5 KiB
behaviors:
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BigWallJump:
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 2048
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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: false
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hidden_units: 256
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num_layers: 2
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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gamma: 0.99
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strength: 1.0
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keep_checkpoints: 5
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max_steps: 20000000
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time_horizon: 128
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summary_freq: 20000
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threaded: true
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SmallWallJump:
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 2048
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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: false
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hidden_units: 256
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num_layers: 2
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vis_encode_type: simple
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reward_signals:
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extrinsic:
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gamma: 0.99
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strength: 1.0
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keep_checkpoints: 5
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max_steps: 5000000
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time_horizon: 128
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summary_freq: 20000
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threaded: true
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curriculum:
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BigWallJump:
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measure: progress
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thresholds: [0.1, 0.3, 0.5]
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min_lesson_length: 100
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signal_smoothing: true
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parameters:
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big_wall_min_height: [0.0, 4.0, 6.0, 8.0]
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big_wall_max_height: [4.0, 7.0, 8.0, 8.0]
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SmallWallJump:
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measure: progress
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thresholds: [0.1, 0.3, 0.5]
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min_lesson_length: 100
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signal_smoothing: true
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parameters:
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small_wall_height: [1.5, 2.0, 2.5, 4.0]
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