Reinforcement Learning with Simulink: timeout an episode

Setup:

• Using RL train function in a parfor loop to optimize hyperparameters
• Simulink model with RL Agent

Problem:

• Some hyperparameters do not produce sensible Agents, some of which might lock the simulation in a timestep forever (happens occassionally) due to solver adjustments

Desired solution:

• Have a timeout for individual epsidodes, e.g., 10min, that just kills the simulation if it does not finish in the specified time
• Usually, the way to do this is to pass "TimeOut" to the Simulink simulation object
• Is there a way to pass the simulink object into train or any other way to to set a timeout in the model parameters?