Reinforcement Learning for Sustainable Energy: A Survey

26 July 2024

Papers citing "Reinforcement Learning for Sustainable Energy: A Survey"

44 / 44 papers shown

Title
Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning Manuel Sage Martin Staniszewski Yao Zhao 24 3 0 28 Aug 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 47 20 0 03 Apr 2023
MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids Nicolas Mauricio Cuadrado Roberto Gutiérrez Yongli Zhu Martin Takáč 58 2 0 15 Mar 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning Steven D. Morad Ryan Kortvelesy Matteo Bettini Stephan Liwicki Amanda Prorok OffRL 58 39 0 03 Mar 2023
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management Yuanzheng Li Shangyang He Yang Li Yang Shi Zhigang Zeng AI4CE 39 54 0 29 Dec 2022
Energy Pricing in P2P Energy Systems Using Reinforcement Learning Nicolas Avila Shahad Hardan Elnura Zhalieva Moayad Aloqaily Mohsen Guizani 27 2 0 24 Oct 2022
Low Emission Building Control with Zero-Shot Reinforcement Learning Scott Jeen Alessandro Abate Jonathan M. Cullen AI4CE 40 6 0 28 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 82 352 0 02 May 2022
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures Hao Zhou Atakan Aral Ivona Brandić Melike Erol-Kantarci AI4CE 15 33 0 22 Nov 2021
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems David J. Biagioni Xinming Zhang Dylan Wald Deepthi Vaidhynathan Rohit Chintala J. King Ahmed S. Zamzam 59 33 0 10 Nov 2021
Learning to run a power network with trust Antoine Marot Benjamin Donnot Karim Chaouache Ying-Ling Lu Qiuhua Huang Ramij-Raja Hossain J. Cremer 75 31 0 21 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 161 278 0 04 Oct 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control Wanpeng Zhang Xiaoyan Cao Yaowen Yao Zhicheng An Xi Xiao Dijun Luo OffRL 62 19 0 26 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 63 625 0 13 Aug 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 60 94 0 29 Jun 2021
Action Set Based Policy Optimization for Safe Power Grid Management Bo Zhou Hongsheng Zeng Yuecheng Liu Kejiao Li Fan Wang Hao Tian 52 21 0 29 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 130 822 0 12 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 142 684 0 03 Jun 2021
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education Robin Henry D. Ernst 42 11 0 18 May 2021
Muesli: Combining Improvements in Policy Optimization Matteo Hessel Ivo Danihelka Fabio Viola A. Guez Simon Schmitt Laurent Sifre T. Weber David Silver H. V. Hasselt 71 66 0 13 Apr 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 52 35 0 14 Mar 2021
Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem Jiangjiao Xu Ke Li M. Abusara 45 9 0 10 Mar 2021
Learning to run a Power Network Challenge: a Retrospective Analysis Antoine Marot Benjamin Donnot Gabriel Dulac-Arnold A. Kelly A. O'Sullivan J. Viebahn M. Awad Isabelle M Guyon P. Panciatici Camilo Romero 63 80 0 02 Mar 2021
Reinforcement Learning for Datacenter Congestion Control Chen Tessler Yuval Shpigelman Gal Dalal Amit Mandelbaum Doron Haritan Kazakov Benjamin Fuhrer Gal Chechik Shie Mannor 100 33 0 18 Feb 2021
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 76 770 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 96 673 0 12 May 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 49 70 0 07 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,824 0 13 Dec 2019
Learning to run a power network challenge for training topology controllers Antoine Marot Benjamin Donnot Camilo Romero Luca Veyrin-Forrer Marvin Lerousseau Balthazar Donon Isabelle M Guyon 64 76 0 05 Dec 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 88 365 0 13 Oct 2019
ModelicaGym: Applying Reinforcement Learning to Modelica Models Oleh Lukianykhin T. Bogodorova 78 20 0 18 Sep 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 98 952 0 19 Jun 2019
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning R. Diao Zhiwei Wang Di Shi Qianyun Chang Jiajun Duan Xiaohu Zhang AI4CE 50 87 0 24 Apr 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 145 1,258 0 30 Nov 2018
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 68 168 0 19 Oct 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 143 1,775 0 05 Dec 2017
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning Yuanlong Li Yonggang Wen K. Guan Dacheng Tao AI4CE 56 178 0 15 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
On-line Building Energy Optimization using Deep Reinforcement Learning Elena Mocanu Decebal Constantin Mocanu Phuong H. Nguyen A. Liotta M. Webber M. Gibescu J. Slootweg OffRL 62 471 0 18 Jul 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,679 0 23 Jul 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 101 2,328 0 20 Oct 2014