Added GFX license conditions. Included LICENSE file in build. Fixed a few character issues in README.md
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LICENSE
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LICENSE
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GFX License
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GFX Conditions
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These GFX conditions confirm the provision of the following artefacts as GFX by Defence Science and Technology
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Laboratory UK (DSTL) to QinetiQ Training and Simulation Ltd (QTSL) (and subcontractors engaged in activity on task by
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request to the QQ mailbox):
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- PrimAITE Overview
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- Access to PrimAITE & user instructions
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- Track 2 tech support
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Suppliers will be required to sign up to the QTSL Collaborative Working Environment (CWE) SyOPs and fill out a User
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Access Request Form. Provided they have a minimum of Cyber Essentials, and the user has the required clearance, they
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will then be provided with credentials to access the site by QQ.
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DSTL mandate that any changes made to the PrimAITE source code be passed back to QTSL (during or on termination of the
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task) so that QQ can capture any potential enhancements to PrimAITE.
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This contains OFFICIAL information to be used to inform work on ARCD tasks (under SERAPIS).
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The material is supplied in confidence to QQ and their subcontractors under SERAPIS, and is issued to inform only those
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that need to know its contents in the course of their official duties whilst engaged in activities under the contract.
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The material consists of proprietary information which is the property of the Crown. The information contained within
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the material may constitute valuable technical information and be commercially sensitive in relation to third parties;
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therefore it may not be used or copied for any non-Governmental or commercial purpose without the prior written consent
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of DSTL. The material must be stored and protected appropriately.All material must be destroyed at the end of the task.
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Please note the contractual obligations relating to provision of these materials.
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@@ -1,6 +1,6 @@
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# PrimAITE
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The ARCD Primary-level AI Training Environment (PrimAITE) provides an effective simulation capability for the purposes of training and evaluating AI in a cyber-defensive role. It incorporates the functionality required of a primary-level ARCD environment, which includes:
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The ARCD Primary-level AI Training Environment (**PrimAITE**) provides an effective simulation capability for the purposes of training and evaluating AI in a cyber-defensive role. It incorporates the functionality required of a primary-level ARCD environment, which includes:
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- The ability to model a relevant platform / system context;
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@@ -24,15 +24,15 @@ PrimAITE presents the following features:
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- Presents an OpenAI gym or RLLib interface to the environment, allowing integration with any OpenAI gym compliant defensive agents;
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- Full capture of discrete logs relating to agent training (full system state, agent actions taken, instantaneous and average reward for every step of every episode);
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- Full capture of discrete logs relating to agent training (full system state, agent actions taken, instantaneous and average reward for every step of every episode);
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- NetworkX provides laydown visualisation capability.
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- NetworkX provides laydown visualisation capability.
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## Getting Started with PrimAITE
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### 💫 Install & Run
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**PrimAITE** is designed to be OS-agnostic, and thus should work on most variations/distros of Linux, Windows, and MacOS.
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Currently, the PRimAITE wheel can only be installed from GitHub. This may change in the future with release to PyPi.
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Currently, the PrimAITE wheel can only be installed from GitHub. This may change in the future with release to PyPi.
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#### Windows (PowerShell)
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@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
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name = "primaite"
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description = "PrimAITE (Primary-level AI Training Environment) is a simulation environment for training AI under the ARCD programme."
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authors = [{name="Defence Science and Technology Laboratory UK", email="oss@dstl.gov.uk"}]
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license = {text = "GFX"}
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license = {file = "LICENSE"}
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requires-python = ">=3.8, <3.11"
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dynamic = ["version", "readme"]
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classifiers = [
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@@ -47,6 +47,7 @@ readme = {file = ["README.md"]}
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[tool.setuptools]
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package-dir = {"" = "src"}
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include-package-data = true
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license-files = ["LICENSE"]
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[project.optional-dependencies]
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