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__pycache__
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Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings
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2025-03-26 04:20:07 +00:00 |
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base_loss_learning_rate_sweep
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Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings
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2025-03-26 04:20:07 +00:00 |
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old
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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time_weighting
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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time_weighting_learning_rate_sweep
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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base_loss_functions.py
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Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings
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2025-03-26 04:20:07 +00:00 |
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base_loss_learning_rate_sweep_training.py
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Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings
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2025-03-26 04:20:07 +00:00 |
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base_loss_training.py
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Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings
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2025-03-26 04:20:07 +00:00 |
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different_theta_powers_training.py
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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initial_conditions.py
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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PendulumController.py
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Restructure files. Changed weight functions to be normalized from 0-1ns to always be normalized from 0-1 (aka max normalization). Also updated average normalization
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2025-02-18 18:45:15 +00:00 |
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PendulumDynamics.py
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Restructure files. Changed weight functions to be normalized from 0-1ns to always be normalized from 0-1 (aka max normalization). Also updated average normalization
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2025-02-18 18:45:15 +00:00 |
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time_weighting_functions.py
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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time_weighting_learning_rate_sweep_training.py
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
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time_weighting_training.py
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Done re-training max_normalized time weighting (with a minimum weight of 0.01) and time_weight_learning_sweep). Started work on base loss function training
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2025-03-12 22:33:37 +00:00 |
