169 citations · 255 across the 11 of their papers we have counts for
3 papers · 2 filters
Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable Energy
Mohammad Pirhooshyaran, Katya Scheinberg, Lawrence V. Snyder
This study introduces a framework for the forecasting, reconstruction and feature engineering of multivariate processes along with its renewable energy applications. We integrate d…
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks
Mohammad Pirhooshyaran, Lawrence V. Snyder
This article explores the concepts of ocean wave multivariate multistep forecasting, reconstruction and feature selection. We introduce recurrent neural network frameworks, integra…
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework
Mohammadreza Nazari, Majid Jahani, Lawrence V. Snyder +1
Although reinforcement learning (RL) can provide reliable solutions in many settings, practitioners are often wary of the discrepancies between the RL solution and their status quo…