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 # Netwrok Security Game
 [![Python Checks](https://github.com/stratosphereips/game-states-maker/actions/workflows/python-checks.yml/badge.svg)](https://github.com/stratosphereips/game-states-maker/actions/workflows/python-checks.yml)
 [![Autotag](https://github.com/stratosphereips/game-states-maker/actions/workflows/autotag.yml/badge.svg)](https://github.com/stratosphereips/game-states-maker/actions/workflows/autotag.yml)
+[![Docs](https://github.com/<user>/<repo>/actions/workflows/deploy-docs.yml/badge.svg)](https://stratosphereips.github.io/NetSecGame/))
+
 
 The NetSecGame (Network Security Game) is a framework for training and evaluation of AI agents in the network security tasks (both offensive and defensive). It builds a simulated local network using the [CYST](https://pypi.org/project/cyst/) network simulator, adds many conditions on the environment and can train reinforcement learning (RL) algorithms on how to better attack and defend the network. Examples of implemented agents can be seen in the submodule [NetSecGameAgents](https://github.com/stratosphereips/NetSecGameAgents/tree/main).