[MINI] Markov Decision Processes

from Data Skeptic · host Kyle Polich and Linh Da Tran

Formally, an MDP is defined as the tuple containing states, actions, the transition function, and the reward function. This podcast examines each of these and presents them in the context of simple examples. Despite MDPs suffering from the curse of dimensionality, they're a useful formalism and a basic concept we will expand on in future episodes.

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This episode was published on January 26, 2018.

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