MODELING THE REPETITION-BASED RECOVERING OF ACOUSTIC AND VISUAL SOURCES WITH DENDRITIC NEURONS


Deep reinforced learning enables solving rich discrete-choice life cycle models to analyze social security reforms

Discrete-choice life cycle models of labor supply can be used to estimate how social security reforms influence employment rate.In a life cycle model, optimal employment choices during the life course of an individual must be solved.Mostly, life cycle models have been solved with dynamic programming, which is not feasible when the state space is la

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