Partially observable Markov decision process

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.

Source: Wikipedia — Partially observable Markov decision process (CC BY-SA 4.0)

Partially observable Markov decision process

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.

This neuron ends here.

Source: Wikipedia "Partially observable Markov decision process" · CC BY-SA 4.0

Share this article: X · Bluesky
Privacy Policy