Causally aware reinforcement learning agents for autonomous cyber defence

Artificial Intelligence (AI) is seen as a disruptive solution to the ever increasing security threats on network infrastructures. To automate the process of defending networked environments from such threats, approaches such as Reinforcement Learning (RL) have been used to train agents in cyber adve...

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Bibliographic Details

Main Authors:	Tom Purves, Kostas Kyriakopoulos, Sian Jenkins, Iain Phillips, Tim Dudman
Format:	Default Article
Published:	2024
Subjects:	Commerce, management, tourism and services Information and computing sciences Artificial intelligence Data management and data science Machine learning Psychology Autonomous cyber defence Reinforcement learning Casual inference Structural Causal Model
Online Access:	https://hdl.handle.net/2134/27014740.v1
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