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train_adv_actor_critic logic #3

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qwedaq opened this issue Jul 4, 2021 · 0 comments
Open

train_adv_actor_critic logic #3

qwedaq opened this issue Jul 4, 2021 · 0 comments

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@qwedaq
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qwedaq commented Jul 4, 2021

Hi,

In the def train_adv_actor_critic function train.py file, when you randomly sample and train the actor with these samples (generated by different policies) isn't that essentially off policy? Whereas A2C is on policy algorithm.
Can you please clarify this and correct me if my understanding is wrong.
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