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© Crown-owned copyright 2023, Defence Science and Technology Laboratory UK
Welcome to PrimAITE's documentation
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What is PrimAITE?
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PrimAITE (Primary-level AI Training Environment) is a simulation environment for training AI under the ARCD programme. It incorporates the functionality required of a Primary-level environment, as specified in the Dstl ARCD Training Environment Matrix document:
* The ability to model a relevant platform / system context;
* The ability to model key characteristics of a platform / system by representing connections, IP addresses, ports, traffic loading, operating systems, file system, services and processes;
* Operates at machine-speed to enable fast training cycles.
What is PrimAITE built with
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* `OpenAI's Gym `_ is used as the basis for AI blue agent interaction with the PrimAITE environment
* `Networkx `_ is used as the underlying data structure used for the PrimAITE environment
* `Stable Baselines 3 `_ is used as a default source of RL algorithms (although PrimAITE is not limited to SB3 agents)
* `Ray RLlib `_ is used as an additional source of RL algorithms
* `Typer `_ is used for building CLIs (Command Line Interface applications)
* `Jupyterlab `_ is used as an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture
* `Platformdirs `_ is used for finding the right location to store user data and configuration but varies per platform
* `Plotly `_ is used for building high level charts
Getting Started with PrimAITE
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Head over to the :ref:`getting-started` page to install and setup PrimAITE!
.. toctree::
:maxdepth: 8
:caption: Contents:
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source/getting_started
source/about
source/config
source/primaite_session
source/custom_agent
source/simulation
PrimAITE API
PrimAITE Tests
source/dependencies
source/glossary
source/migration_1.2_-_2.0
.. TODO: Add project links once public repo has been created
.. toctree::
:caption: Project Links:
:hidden:
Code
Issues
Pull Requests
Discussions