Inverted-Pendulum-Neural-Ne.../analysis
2025-03-12 22:33:37 +00:00
..
__pycache__ 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
max_normalized Finish training with mirrored weights. Plot max normalized with mirror weights 2025-02-25 23:27:49 +00:00
data_processing.py Better analysis file structure 2025-02-19 04:02:53 +00:00
main.py Finish training with mirrored weights. Plot max normalized with mirror weights 2025-02-25 23:27:49 +00:00
max_normalized_weight_plotter.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
max_normalized_weights.png 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
PendulumController.py Normalization of loss functions based on max weight 2025-02-17 02:54:56 +00:00
plotting.py Plotting theta across epochs for the different loss functions 2025-02-22 23:45:53 +00:00
run_and_save_all_test_cases.py Finish training with mirrored weights. Plot max normalized with mirror weights 2025-02-25 23:27:49 +00:00
simulation.py Better analysis file structure 2025-02-19 04:02:53 +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
validator.py Fix issues where the initialized controllers could be different. Created a controller_base.pth that is used for all controller initialization 2025-02-24 02:28:16 +00:00