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Lecture
Markov Chains: Reversibility and Irreducibility
Description
This lecture covers the concepts of reversibility and irreducibility in Markov chains, focusing on the conditions for a chain to be reversible and the implications of irreducibility. The instructor explains the detailed balance conditions, transition probabilities, and the optimal policy for decision-making in a Markov chain scenario.
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