Incorporate Time into Reinforcement Learning Environment

I am creating my own custom environemnt on MATLAB using the rlFunctionEnv function. I wanted to know whether I could somehow incorporate time into my envirnment when training it using a DQN as my environment needs to know the time at each time step. Is there a way to do this?

Answer 1

[Emmanouil Tzorakoleftherakis]

Time would be another parameter of your environment. Interactions between the agent and environment happen at discrete time steps, so you can create a variable and increase it by an amount equal to your agent's sample time. If you step function also includes numerical integration you could use the integration times as well.

[Huzaifah Shamim]

Oh ok that makes sense! Thank You!

Can you please take a look at this questions that I had:

Question #1: Regarding LoggedSignals.State