Inverted-Pendulum-Neural-Ne.../training
2025-07-12 21:27:08 +00:00
..
__pycache__ Generated convergence plots for 'centroid' parameters such as t_median, t_mean, R (later/early). 2025-03-31 21:50:30 +00:00
training_files@7ae53a8039 Switched submodule to relative url so push mirror works 2025-07-12 21:27:08 +00:00
base_loss_functions.py Generated convergence plots for 'centroid' parameters such as t_median, t_mean, R (later/early). 2025-03-31 21:50:30 +00:00
base_loss_learning_rate_sweep_training.py Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
base_loss_training.py Base loss learning rate sweep training done. Made composite plots for epoch evolution of different time weightings 2025-03-26 04:20:07 +00:00
initial_conditions.py 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 2025-03-12 22:33:37 +00:00
nohup.out Generated convergence plots for 'centroid' parameters such as t_median, t_mean, R (later/early). 2025-03-31 21:50:30 +00:00
PendulumController.py 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 2025-02-18 18:45:15 +00:00
PendulumDynamics.py Generated plots for time_weighting, time_weighting_learning_rate_sweep, and base_loss_learning_rate_sweep 2025-03-30 22:22:10 +00:00
time_weighting_functions.py 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 2025-03-12 22:33:37 +00:00
time_weighting_learning_rate_sweep_training.py Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
time_weighting_training.py Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00