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Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Peru
Karina Valdivia Delgado in research grants and scholarships supported by FAPESP.
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Markov Decision Processes (MDPs) are widely used to solve sequential decision-making problems. The most commonly used performance criterion to find a solution in this type of problem is to minimize the expected total cost. However, this approach does not take into account the cost variability (i.e., fluctuations around the mean), which can significantly affect the policy performance. MDP…
The main subject of this project is related to the area of planning under uncertainty in Artificial Intelligence (AI).Planning problems involving actions with probabilistic effects can be modeled by Markov Decision Processes (MDPs), efficient solutions capable of solving this type of problems with a reasonable number of states were proposed. However, known extensions of an MDP are better …
| 2 / 2 | Completed research grants |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All research grants and scholarships |
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