conda env create -f requirements_conda.yml
All trained models are stored in the saved
folder.
Model | Notebook Name | Description |
---|---|---|
DQN | DQN-Optuna DQN-Optuna-EnvD |
Optuna Tuning |
DQN | DQN DQN-EnvD |
Training Script |
A2C | A2C-Optuna-EnvA-mini A2C-Optuna-EnvA A2C-Optuna-EnvB-mini A2C-Optuna-EnvB A2C-Optuna-EnvC-mini A2C-Optuna-EnvC A2C-Optuna-EnvD-v2 A2C-Optuna-EnvD |
Optuna Tuning + Training Script |
PPO | PPO-Optuna PPO-Optuna-EnvD |
Optuna Tuning |
PPO | PPO PPO-EnvD |
Training Script |
RPPO | RecurrentPPO_Optuna | Optuna Tuning |
RPPO | RecurrentPPO_EnvA RecurrentPPO_EnvB RecurrentPPO_EnvC RecurrentPPO_EnvD |
Training Script |