Optimal Decision Making with POMDPs

from Data Skeptic · host Kyle Polich and Linhda Tran

In a previous episode, we discussed Markov Decision Processes or MDPs, a framework for decision making and planning. This episode explores the generalization Partially Observable MDPs (POMDPs) which are an incredibly general framework that describes most every agent based system.

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This episode is 18 minutes long.

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This episode was published on February 23, 2018.

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