I am working on a project where I have to train a RL agent which will simulate Loan repayment track of a customer's loan based on his features derived from his credit profile (state vector). I am planning to implement episodic SARSA for control, using Tensorforce.
I have gathered some theoretical information for this project but I have not figured out the implementation part yet. My major doubt is that once the agent takes an action I want to update the state vector, I did not find anything on how to go about it. Any help will be appreciated.