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20172021
most citedModel-based Deep Reinforcement Learning for Dynamic Portfolio Optimization

63 citations · 100 across the 7 of their papers we have counts for

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stat.ML2017

Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions

Rudy Raymond, Takayuki Osogami, Sakyasingha Dasgupta

Dynamic Boltzmann Machine (DyBM) has been shown highly efficient to predict time-series data. Gaussian DyBM is a DyBM that assumes the predicted data is generated by a Gaussian dis…