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Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement
To the best of our knowledge, this study represents a pioneering effort in using Reinforcement Learning to address the aforementioned problem, offering promising perspectives in fire prevention and landscape management
Predicting student performance using sequence classification with time-based windows
A growing number of universities worldwide use various forms of online and blended learning as part of their academic curricula.
Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
Restless bandit problems with even finite state spaces are PSPACE-HARD in general.
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