Reinforcement Learning with Simulink: timeout an episode
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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?
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