Robust anytime learning of Markov decision processes
Markov decision processes (MDPs) are formal models commonly used in sequential decision-making. MDPs capture the stochasticity that may arise, for instance, from imprecise actuators via probabilities in the transition function. However, in data-driven applications, deriving precise probabilities fro...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Curran Associates
2023
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