Search Results for author: Roberto Maestre

Found 2 papers, 0 papers with code

Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series

no code implementations24 Jul 2018 Axel Brando, Jose A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià

Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples.

Reinforcement Learning for Fair Dynamic Pricing

no code implementations27 Mar 2018 Roberto Maestre, Juan Duque, Alberto Rubio, Juan Arévalo

Unfair pricing policies have been shown to be one of the most negative perceptions customers can have concerning pricing, and may result in long-term losses for a company.

Fairness reinforcement-learning +1

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