Inverted-Pendulum-Neural-Ne.../analysis
2025-05-13 01:40:59 +00:00
..
__pycache__ Generated plots for time_weighting, time_weighting_learning_rate_sweep, and base_loss_learning_rate_sweep 2025-03-30 22:22:10 +00:00
base_loss Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
base_loss_learning_rate_sweep Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
misc Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
time_weighting Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
time_weighting_learning_rate_sweep Moved training files to separate folder in preparation of making training_files a submodule 2025-05-13 01:40:59 +00:00
analysis_conditions.py Trained additional base loss functions for lr sweep. Generated data for time weighting. Generated composite epoch evolution plots 2025-03-29 19:23:52 +00:00
data_processing.py Better analysis file structure 2025-02-19 04:02:53 +00:00
initial_conditions.py Finding best learning rates from the sweeps 2025-03-29 02:07:34 +00:00
PendulumController.py Normalization of loss functions based on max weight 2025-02-17 02:54:56 +00:00
PendulumDynamics.py Finding best learning rates from the sweeps 2025-03-29 02:07:34 +00:00
simulation.py Better analysis file structure 2025-02-19 04:02:53 +00:00