How to run the simulink model when implementing custom RL training?
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Yihao Wan
el 25 de Mayo de 2023
Comentada: Emmanouil Tzorakoleftherakis
el 25 de Mayo de 2023
Hello, I am developing a custom training of RL DQN agent based on the link, however, how should I adapt it to the simulink environment?
Especially for the code below, when applying an action to the environment, the step is not applicable for a simulink model. How should I solve this issue? Thanks in advance.
% Apply the action to the environment
% and obtain the resulting observation and reward.
[nextObs,reward,isdone] = step(env,action{1});
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Emmanouil Tzorakoleftherakis
el 25 de Mayo de 2023
The way to do it would be to use runEpisode
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Emmanouil Tzorakoleftherakis
el 25 de Mayo de 2023
The example you are showing is model-based RL, it's different from what you mentioned at the beginning.
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