39 lines
10 KiB
Plaintext
39 lines
10 KiB
Plaintext
Final best results (dictionary):
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{'inverse': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse/lr_0.250', 'csv_loss': 0.531498372554779, 'constant_loss': 2.5503664016723633}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse/lr_0.250', 'csv_loss': 0.531498372554779, 'constant_loss': 2.5503664016723633}}, 'linear_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/linear_mirrored/lr_0.125', 'csv_loss': 2.3770766258239746, 'constant_loss': 2.552375078201294}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/linear_mirrored/lr_0.125', 'csv_loss': 2.3770766258239746, 'constant_loss': 2.552375078201294}}, 'inverse_squared_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.160', 'csv_loss': 0.033845994621515274, 'constant_loss': 2.7603342533111572}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.160', 'csv_loss': 0.033845994621515274, 'constant_loss': 2.7603342533111572}}, 'cubic_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.080', 'csv_loss': 2.0769901275634766, 'constant_loss': 2.563471555709839}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.080', 'csv_loss': 2.0769901275634766, 'constant_loss': 2.563471555709839}}, 'quadratic': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/quadratic/lr_0.200', 'csv_loss': 0.06192325800657272, 'constant_loss': 3.025479316711426}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/quadratic/lr_0.080', 'csv_loss': 0.14040324091911316, 'constant_loss': 2.982274055480957}}, 'inverse_squared': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_squared/lr_0.200', 'csv_loss': 1.1794205904006958, 'constant_loss': 2.5662319660186768}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_squared/lr_0.200', 'csv_loss': 1.1794205904006958, 'constant_loss': 2.5662319660186768}}, 'quadratic_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.125', 'csv_loss': 2.218207836151123, 'constant_loss': 2.555176258087158}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.125', 'csv_loss': 2.218207836151123, 'constant_loss': 2.555176258087158}}, 'square_root': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/square_root/lr_0.250', 'csv_loss': 0.6526519656181335, 'constant_loss': 2.5856597423553467}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/square_root/lr_0.250', 'csv_loss': 0.6526519656181335, 'constant_loss': 2.5856597423553467}}, 'inverse_cubed_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.200', 'csv_loss': 0.03754603490233421, 'constant_loss': 2.9996697902679443}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.200', 'csv_loss': 0.03754603490233421, 'constant_loss': 2.9996697902679443}}, 'cubic_root_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.250', 'csv_loss': 2.47979474067688, 'constant_loss': 2.5389654636383057}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.250', 'csv_loss': 2.47979474067688, 'constant_loss': 2.5389654636383057}}, 'inverse_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.160', 'csv_loss': 0.032234687358140945, 'constant_loss': 2.942859649658203}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.160', 'csv_loss': 0.032234687358140945, 'constant_loss': 2.942859649658203}}, 'inverse_cubed': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_cubed/lr_0.200', 'csv_loss': 1.4481265544891357, 'constant_loss': 2.557009696960449}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/inverse_cubed/lr_0.200', 'csv_loss': 1.4481265544891357, 'constant_loss': 2.557009696960449}}, 'cubic_root': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_root/lr_0.250', 'csv_loss': 1.0203485488891602, 'constant_loss': 2.609311819076538}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic_root/lr_0.250', 'csv_loss': 1.0203485488891602, 'constant_loss': 2.609311819076538}}, 'square_root_mirrored': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.160', 'csv_loss': 2.4792795181274414, 'constant_loss': 2.5693373680114746}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.160', 'csv_loss': 2.4792795181274414, 'constant_loss': 2.5693373680114746}}, 'linear': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/linear/lr_0.125', 'csv_loss': 0.2883843183517456, 'constant_loss': 3.05281400680542}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/linear/lr_0.080', 'csv_loss': 0.28867313265800476, 'constant_loss': 2.9585072994232178}}, 'constant': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/constant/lr_0.160', 'csv_loss': 2.608083486557007, 'constant_loss': 2.606748342514038}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/constant/lr_0.160', 'csv_loss': 2.608083486557007, 'constant_loss': 2.606748342514038}}, 'cubic': {'csv': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic/lr_0.160', 'csv_loss': 0.04065453261137009, 'constant_loss': 3.101959228515625}, 'constant': {'path': '/home/judson/Neural-Networks-in-GNC/inverted_pendulum/training/time_weighting_learning_rate_sweep/cubic/lr_0.300', 'csv_loss': 0.049555618315935135, 'constant_loss': 3.0432639122009277}}}
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Summary Table:
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Function Name Candidate Learning Rate CSV Loss Constant Loss
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inverse CSV 0.250 0.531498 2.550366
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Constant 0.250 0.531498 2.550366
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linear_mirrored CSV 0.125 2.377077 2.552375
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Constant 0.125 2.377077 2.552375
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inverse_squared_mirrored CSV 0.160 0.033846 2.760334
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Constant 0.160 0.033846 2.760334
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cubic_mirrored CSV 0.080 2.076990 2.563472
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Constant 0.080 2.076990 2.563472
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quadratic CSV 0.200 0.061923 3.025479
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Constant 0.080 0.140403 2.982274
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inverse_squared CSV 0.200 1.179421 2.566232
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Constant 0.200 1.179421 2.566232
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quadratic_mirrored CSV 0.125 2.218208 2.555176
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Constant 0.125 2.218208 2.555176
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square_root CSV 0.250 0.652652 2.585660
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Constant 0.250 0.652652 2.585660
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inverse_cubed_mirrored CSV 0.200 0.037546 2.999670
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Constant 0.200 0.037546 2.999670
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cubic_root_mirrored CSV 0.250 2.479795 2.538965
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Constant 0.250 2.479795 2.538965
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inverse_mirrored CSV 0.160 0.032235 2.942860
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Constant 0.160 0.032235 2.942860
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inverse_cubed CSV 0.200 1.448127 2.557010
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Constant 0.200 1.448127 2.557010
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cubic_root CSV 0.250 1.020349 2.609312
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Constant 0.250 1.020349 2.609312
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square_root_mirrored CSV 0.160 2.479280 2.569337
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Constant 0.160 2.479280 2.569337
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linear CSV 0.125 0.288384 3.052814
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Constant 0.080 0.288673 2.958507
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constant CSV 0.160 2.608083 2.606748
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Constant 0.160 2.608083 2.606748
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cubic CSV 0.160 0.040655 3.101959
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Constant 0.300 0.049556 3.043264 |