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Markov decision process. In mathematics, a Markov decision process ( MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying optimization problems solved via ...
A partially observable Markov decision process ( POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot directly observe the underlying state. Instead, it must maintain a sensor model (the probability ...
The decentralized partially observable Markov decision process (Dec-POMDP) [1] [2] is a model for coordination and decision-making among multiple agents. It is a probabilistic model that can consider uncertainty in outcomes, sensors and communication (i.e., costly, delayed, noisy or nonexistent communication). It is a generalization of a Markov ...
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Miami-Dade County Public Schools ( M-DCPS) is the public school district serving Miami-Dade County in the U.S. state of Florida. Founded in 1885, it is the largest school district in Florida, the largest in the Southeastern United States, and the third-largest [3] in the United States [4] with a student enrollment of 356,589 as of August 30, 2021.
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The Minnesota Department of Public Safety (DPS) is a department of the State of Minnesota in the United States. DPS is an enforcement, licensing and services agency that develops and operates programs in the areas of law enforcement, traffic safety, alcohol and gambling, fire safety, driver licensing, vehicle registration, emergency management ...
Deep reinforcement learning algorithms incorporate deep learning to solve such MDPs, often representing the policy (|) or other learned functions as a neural network and developing specialized algorithms that perform well in this setting. History