Is it giving the probability of taking a particular action a (-A in a given state s(- S which will result in the maximum reward in that particular timestamp or state s ??? Correct me if I am wrong… and do we find that ‘a’ using deep Q learning algorithm by checking for which ‘a’ the P(A|S) is maximum???
Correct me if I am wrong???
What P(A|S) is depicting?
hey @bihan ,
i actually don’t know about the Reinforcement learning for this,
but as understanding the thing , it is what is the probability of action a to happen if state S has occured.
and based on that we can decide which action has more chances to happen
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