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cs.LG2024
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
Stephen Carrow, Kyle Harper Erwin, Olga Vilenskaia +5
Recent advances in machine learning have led to a surge in adoption of neural networks for various tasks, but lack of interpretability remains an issue for many others in which an…
cs.LG2021
An Analysis of Reinforcement Learning for Malaria Control
Ndivhuwo Makondo, Arinze Lawrence Folarin, Simphiwe Nhlahla Zitha +1
Previous work on policy learning for Malaria control has often formulated the problem as an optimization problem assuming the objective function and the search space have a specifi…