Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education

2021-05-18 · Robin Henry, Damien Ernst

Gym-ANM is a Python package that facilitates the design of reinforcement learning (RL) environments that model active network management (ANM) tasks in electricity networks. Here, we describe how to implement new environments and how to write code to interact with pre-existing ones. We also provide an overview of ANM6-Easy, an environment designed to highlight common ANM challenges. Finally, we discuss the potential impact of Gym-ANM on the scientific community, both in terms of research and education. We hope this package will facilitate collaboration between the power system and RL communities in the search for algorithms to control future energy systems.

📄 PDF Abstract BibTeX arXiv:2105.08846

Code (0)

등록된 구현이 없습니다.

Tasks

Management reinforcement-learning Reinforcement Learning (RL)

Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power Systems

2022-03-02 · Hantao Cui, Yichen Zhang

This paper presents Andes_gym, a versatile and high-performance reinforcement learning environment for power system studies. The environment leverages the modeling and simulation capability of ANDES and the reinforcement…

Deep Reinforcement Learning OpenAI Gym reinforcement-learning Reinforcement Learning+1

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

2021-11-10 · David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan 외

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 existin…

Multi-agent Reinforcement Learning reinforcement-learning Reinforcement Learning (RL)

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio

2022-04-09 · Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour 외

Dynamic resource allocation plays a critical role in the next generation of intelligent wireless communication systems. Machine learning has been leveraged as a powerful tool to make strides in this domain. In most cases…

Deep Reinforcement Learning GPU OpenAI Gym

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

2024-08-13 · Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng 외

Large language model (LLM) agents have shown great potential in solving real-world software engineering (SWE) problems. The most advanced open-source SWE agent can resolve over 27% of real GitHub issues in SWE-Bench Lite…

Diversity Language Modeling Language Modelling Large Language Model

OSS Mentor A framework for improving developers contributions via deep reinforcement learning

2022-10-24 · Jiakuan Fan, Haoyue Wang, Wei Wang, Ming Gao 외

In open source project governance, there has been a lot of concern about how to measure developers' contributions. However, extremely sparse work has focused on enabling developers to improve their contributions, while i…

Deep Reinforcement Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)