Reinforcement Learning: Theory and Algorithms

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A transition function P: SA! ( S), where ( S) is the space of probability distributions over S(i.e., the probability simplex). P(s0js;a) is the probability of transitioning into state s0upon taking action ain state s. We use P s;ato denote the vector P( s;a). A reward function r: SA!

  Learning, Theory, Probability, Algorithm, Reinforcement, Reinforcement learning, Theory and algorithms