June 2018
Intermediate to advanced
318 pages
9h 24m
English
Content preview from Hands-On Reinforcement Learning with Python
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State-action value function (Q function)
A state-action value function is also called the Q function. It specifies how good it is for an agent to perform a particular action in a state with a policy π. The Q function is denoted by Q(s). It denotes the value of taking an action in a state following a policy π.
We can define Q function as follows:
This specifies the expected return starting from state s with the action a according to policy π. We can substitute the value of Rt in the Q function from (2) as follows:
The difference between the ...
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