Deep Q-network reinforcement learning
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Zhengcheng Dong
on 15 Sep 2020
Commented: Emmanouil Tzorakoleftherakis
on 18 Sep 2020
Using the rl agent provided by Matlab, How can I change the action set after each step or episode? Because I assume that the action cannot be repetitive.
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Accepted Answer
Emmanouil Tzorakoleftherakis
on 15 Sep 2020
Hello,
The functionality to customize the action space is not yet available. A couple of workarounds:
1) Use penalties in the reward signal every time a repetitive action is selected. Make sure you use the previously selected action as an observation here. This may work but if the number of possible actions is small, it may interfere with exploration
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