LEARNING
Markov Decision Processes
Michael Hu
- Year
- 2023
- Citations
- 10
Abstract
Markov decision processes (MDPs) offer a powerful framework for tackling sequential decision-making problems in the presence of uncertainty in reinforcement learning. Their applications span various domains, including robotics, finance, and optimal control.
Keywords
Markov decision processReinforcement learningArtificial intelligenceComputer scienceMarkov chainMachine learningPartially observable Markov decision processMarkov processControl (management)Markov model
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