#2837 - Adding some additional wording to the README.md [skip ci]

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Charlie Crane
2024-09-06 10:05:10 +01:00
parent f6d793196d
commit 731982b698

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@@ -24,6 +24,8 @@ PrimAITE presents the following features:
- Support for multiple agents, each having their own customisable observation space, action space, and reward function definition, and either deterministic or RL-directed behaviour
Whilst PrimAITE ships with a number of example modelled scenarios (a.k.a. Use Cases), it has not been developed to mandate the solving of a single cyber challenge, and instead provides a highly flexible environment application that can be extended and reconfigured by the user to suit their specific cyber defence training and evaluation needs. PrimAITE provides default networks, red agent and green agent behaviour, reward functions, and action / observation space configuration, all of which can be utilised out of the box, but which ultimately can (and in some instances should) be built upon and / or reconfigured to meet the needs of different defensive agent developers. The PrimAITE user guide provides comprehensive instruction on all PrimAITE features, functionality and components, and can be consulted in order to help guide users in any reconfiguration or enhancements they wish to undertake; a library of example Jupyter notebooks are also provided to support such work.
## Getting Started with PrimAITE
### 💫 Installation