Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

27 January 2021

Na Li

Papers citing "Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges"

50 / 64 papers shown

Title
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 142 2 0 13 Feb 2025
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training Alexander Pan Yongkyun Lee Huan Zhang Yize Chen Yuanyuan Shi AAML 52 17 0 18 Oct 2021
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems Xian Yeow Lee Soumik Sarkar Yubo Wang 25 30 0 24 Sep 2021
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems Ting-Han Fan Xian Yeow Lee Yubo Wang 116 23 0 08 Sep 2021
Density Constrained Reinforcement Learning Zengyi Qin Yuxiao Chen Chuchu Fan 48 35 0 24 Jun 2021
Model-predictive control and reinforcement learning in multi-energy system case studies Glenn Ceusters Román Cantú Rodríguez A. García R. Franke Geert Deconinck L. Helsen Ann Nowé M. Messagie L. R. Camargo 29 86 0 20 Apr 2021
Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices Haotian Liu Wenchuan Wu OffRL 21 6 0 13 Apr 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems Robin Henry D. Ernst 44 35 0 14 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 58 80 0 02 Mar 2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning Sayak Mukherjee Renke Huang Qiuhua Huang T. Vu Tianzhixi Yin 32 7 0 29 Jan 2021
Adversarial Training for a Continuous Robustness Control Problem in Power Systems Loic Omnes Antoine Marot Benjamin Donnot AAML 31 14 0 21 Dec 2020
Active Reinforcement Learning: Observing Rewards at a Cost David M. Krueger Jan Leike Owain Evans J. Salvatier 50 32 0 13 Nov 2020
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research Gonzague Henri T. Levent Avishai Halev Réda Alami Philippe Cordier 13 21 0 11 Nov 2020
Online Learning and Distributed Control for Residential Demand Response Xin Chen Yingying Li Jun Shimada Na Li 20 29 0 11 Oct 2020
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks Yuanqi Gao Wei Wang N. Yu 26 120 0 06 Jul 2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings Liang Yu Yi Sun Zhanbo Xu Chao Shen Dong Yue Tao Jiang X. Guan AI4CE 56 214 0 25 Jun 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 58 96 0 24 Jun 2020
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control Haotian Liu Wenchuan Wu 20 121 0 23 Jun 2020
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach Guannan Qu Chenkai Yu S. Low Adam Wierman 44 19 0 12 Jun 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction Gen Li Yuting Wei Yuejie Chi Yuantao Gu Yuxin Chen OffRL 132 119 0 04 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks Haotian Liu Wenchuan Wu OffRL 23 97 0 20 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 549 2,023 0 04 May 2020
Online Residential Demand Response via Contextual Multi-Armed Bandits Xin Chen Yutong Nie Na Li 20 30 0 07 Mar 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$ -Learning Guannan Qu Adam Wierman 52 110 0 01 Feb 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 93 169 0 19 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 181 1,213 0 24 Nov 2019
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 136 84 0 18 Oct 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift Alekh Agarwal Sham Kakade Jason D. Lee G. Mahajan 61 320 0 01 Aug 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz Nir Levine Rae Jeong Yuanyuan Shi Jackie Kay A. Abdolmaleki Jost Tobias Springenberg Timothy A. Mann Todd Hester Martin Riedmiller OOD 105 120 0 18 Jun 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version Erwan Lecarpentier Emmanuel Rachelson 82 85 0 22 Apr 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 74 621 0 21 Mar 2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning Qiuhua Huang Renke Huang Weituo Hao Jie Tan Rui Fan Zhenyu Huang 80 273 0 09 Mar 2019
Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation Jiameng Fan Wenchao Li OffRL OnRL GP 59 18 0 06 Mar 2019
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning R. Srikant Lei Ying 63 252 0 03 Feb 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 177 605 0 01 Jan 2019
Safely Learning to Control the Constrained Linear Quadratic Regulator Sarah Dean Stephen Tu Nikolai Matni Benjamin Recht 45 139 0 26 Sep 2018
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning Hanchen Xu A. Domínguez-García P. Sauer OffRL 18 112 0 29 Jul 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 83 540 0 28 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 158 506 0 20 May 2018
Programmatically Interpretable Reinforcement Learning Abhinav Verma V. Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri 114 353 0 06 Apr 2018
Linear model predictive safety certification for learning-based control K. P. Wabersich Melanie Zeilinger 37 168 0 22 Mar 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 59 379 0 22 Mar 2018
Soft-Robust Actor-Critic Policy-Gradient E. Derman D. Mankowitz Timothy A. Mann Shie Mannor 46 63 0 11 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 299 8,334 0 04 Jan 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 57 306 0 11 Dec 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 127 753 0 30 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 487 19,019 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 62 470 0 18 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 110 1,322 0 30 May 2017