Reinforcement Learning with Network Dataset

Hello,

I am very new to Matlab. I have a procesed csv dataset file of network interactio data which includes attack data as well. I want to use this with DRL in Matlab to train and perform identification of anomalies. I was wondering if anyone can help me with this for setting up the environment and feeding the file and using with DQN agent.

Thanks,

Answer 1

[Nikhil]

Hi Anthony,

Have a look at these links. These might be useful.

https://www.mathworks.com/help/reinforcement-learning/examples.html

https://www.mathworks.com/help/reinforcement-learning/ug/train-dqn-agent-to-swing-up-and-balance-pendulum.html