43 lines
1.9 KiB
ReStructuredText
43 lines
1.9 KiB
ReStructuredText
.. _results:
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Results, Output and Logging from PrimAITE
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PrimAITE produces four types of data:
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* Outputs - Results
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* Outputs - Diagrams
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* Outputs - Saved agents
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* Logging
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Outputs can be found in the *[Install Directory]\\Primaite\\Primaite\\outputs* directory
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Logging can be found in the *[Install Directory]\\Primaite\\Primaite\\logs* directory
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**Outputs - Results**
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PrimAITE automatically creates two sets of results from each session, and stores them in the *Results* folder:
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* 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
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* All transactions - a csv file listing the following values for every step of every episode:
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* Timestamp
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* Episode number
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* Step number
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* 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
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* 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
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* Reward value
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* Action space (as presented by the blue agent on this step). Individual elements of the action space are presented in the format AS_X
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**Outputs - Diagrams**
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For each session, PrimAITE automatically creates a visualisation of the system / network laydown configuration, and stores it in the *Diagrams* folder.
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**Outputs - Saved agents**
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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.
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**Logging**
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PrimAITE also provides output logs (for diagnosis) using the Python Logging package. These can be found in the *[Install Directory]\\Primaite\\Primaite\\logs* directory
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