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Markov decision process
Mathematical model for sequential decision making under uncertainty
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fact-checking (1) Β· misinformation (1) Β· knowledge graphs (1) Β· LLM (1) Β· WKGFC (1) Β· retrieval augmented generation (1) Β· Markov Decision Process (1) Β· semantic relations (1)
π Key Information
A Markov decision process (MDP) is a mathematical model for sequential decision making when outcomes are uncertain. It is a type of stochastic decision process, and is often solved using the methods of stochastic dynamic programming.
Originating from operations research in the 1950s, MDPs have since gained recognition in a variety of fields, including ecology, economics, healthcare, telecommunications and reinforcement learning.
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