3 citations · 5 across the 3 of their papers we have counts for
3 papers
Adaptive Computing for Scale-up Problems
Kevin Patrick Griffin, Hilary Egan, Marc T. Henry de Frahan +11
Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are…
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
David Biagioni, Xiangyu Zhang, Dylan Wald +4
We present the PowerGridworld software package to provide users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environm…
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…