* Average reward per episode - a csv file listing the average reward for each episode of the session. This provides, for example, an indication of the change over a training session of the reward value
* All transactions - a csv file listing the following values for every step of every episode:
* Timestamp
* Episode number
* Step number
* Initial observation space (before red and blue agent actions have been taken). Individual elements of the observation space are presented in the format OSI_X_Y
* Resulting observation space (after the red and blue agent actions have been taken) Individual elements of the observation space are presented in the format OSN_X_Y
* Reward value
* Action space (as presented by the blue agent on this step). Individual elements of the action space are presented in the format AS_X
For each session, PrimAITE automatically creates a visualisation of the system / network laydown configuration, and stores it in the *Diagrams* folder.
For each training session, assuming the agent being trained implements the *save()* function and this function is called by the code, PrimAITE automatically saves the agent state and stores it in the *agents* folder.
PrimAITE also provides output logs (for diagnosis) using the Python Logging package. These can be found in the *[Install Directory]\\Primaite\\Primaite\\logs* directory