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55 lines
979 B
YAML
55 lines
979 B
YAML
method: bayes
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metric:
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name: objective/score
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goal: maximize
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command:
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- ${env}
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- python
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- -m
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- engine.train
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parameters:
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algo:
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value: sac
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total_timesteps:
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values: [50000, 80000, 120000]
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seed:
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values: [13, 42, 77]
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alpha:
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distribution: uniform
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min: 0.15
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max: 0.55
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n_products:
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values: [8, 10, 12]
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lambda_coi:
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distribution: uniform
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min: 0.05
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max: 0.5
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robust_radius:
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distribution: uniform
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min: 0.05
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max: 0.3
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robust_points:
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values: [3, 5, 7]
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info_value:
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distribution: uniform
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min: 0.5
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max: 2.0
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revenue_weight:
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values: [0.005, 0.01, 0.02]
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learning_rate:
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distribution: log_uniform_values
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min: 3.0e-5
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max: 1.0e-3
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gamma:
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values: [0.98, 0.99, 0.995]
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buffer_size:
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values: [50000, 100000, 200000]
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batch_size:
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values: [128, 256, 512]
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tau:
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values: [0.002, 0.005, 0.01]
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train_freq:
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values: [1, 4, 8]
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learning_starts:
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values: [1000, 3000, 5000]
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