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A popular reinforcement learning algorithm, an instance of TD (temporal difference) learning.
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Q-learning update formula
I am a beginner and it is my first question.
I know that Q-learning update equation is:
$Q(s_t, a_t) = Q(s_t, a_t)+α(r_{t+1} +γ·max_AQ(s_{t+1}, a_t)−Q(s_t, a_t))$
But in some of the researches it is …