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.

Episode metadata supplied by the publisher feed · Published Feb 23, 2018

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