12 citations · 19 across the 4 of their papers we have counts for
4 papers
Integrating Energy-Efficient Computing Research to Accelerate Energy Technology
Michael James Martin, Aaron Andersen, Charles Tripp +2
NREL's computational sciences center hosts the largest high-performance computing (HPC) capabilities dedicated to energy research while functioning as a living laboratory for energ…
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne +2
We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks. The dataset, which is now freely avail…
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem
Erotokritos Skordilis, Yi Hou, Charles Tripp +3
Mobility on demand (MoD) systems show great promise in realizing flexible and efficient urban transportation. However, significant technical challenges arise from operational decis…
Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs
Charles Tripp, Ross D. Shachter
We seek to learn an effective policy for a Markov Decision Process (MDP) with continuous states via Q-Learning. Given a set of basis functions over state action pairs we search for…