PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems

1 code implementation • 10 Nov 2021 • David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam

We present the PowerGridworld software package to provide users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL).

Multi-agent Reinforcement Learning reinforcement-learning +1