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- Q176814 subject Q7068696.
- Q176814 subject Q7216313.
- Q176814 subject Q8818220.
- Q176814 abstract "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 probability distribution over the set of possible states, based on a set of observations and observation probabilities, and the underlying MDP.The POMDP framework is general enough to model a variety of real-world sequential decision processes. Applications include robot navigation problems, machine maintenance, and planning under uncertainty in general. The framework originated in the operations research community, and was later taken over by the artificial intelligence and automated planning communities.An exact solution to a POMDP yields the optimal action for each possible belief over the world states. The optimal action maximizes (or minimizes) the expected reward (or cost) of the agent over a possibly infinite horizon. The sequence of optimal actions is known as the optimal policy of the agent for interacting with its environment.".
- Q176814 wikiPageExternalLink index.php?n=Main.HomePage.
- Q176814 wikiPageExternalLink pypomdp.
- Q176814 wikiPageExternalLink index.shtml.
- Q176814 wikiPageExternalLink zmdp.
- Q176814 wikiPageExternalLink spudd.
- Q176814 wikiPageExternalLink IsoFreeBB.
- Q176814 wikiPageWikiLink Q11660.
- Q176814 wikiPageWikiLink Q1430750.
- Q176814 wikiPageWikiLink Q176789.
- Q176814 wikiPageWikiLink Q194292.
- Q176814 wikiPageWikiLink Q205084.
- Q176814 wikiPageWikiLink Q2631895.
- Q176814 wikiPageWikiLink Q2873.
- Q176814 wikiPageWikiLink Q7068696.
- Q176814 wikiPageWikiLink Q7216313.
- Q176814 wikiPageWikiLink Q8818220.
- Q176814 comment "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.".
- Q176814 label "Partially observable Markov decision process".