PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid
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PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control

24 November 2020

Papers citing "PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control"

11 / 11 papers shown

Title
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 16 10 0 18 Dec 2023
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Zican Hu Zongzhang Zhang Huaxiong Li Chunlin Chen Hongyu Ding Zhi Wang 60 8 0 08 Dec 2023
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control Han Xu Jialin Zheng Guannan Qu 14 2 0 07 Dec 2023
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning Mingya Hua Bin Shuai Quan Zhou Jinhai Wang Yinglong He Hongming Xu 34 2 0 28 Aug 2023
Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms O. Kundacina Gorana Gojić Milena Mitrović D. Mišković D. Vukobratović 20 0 0 01 Mar 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 24 4 0 08 Feb 2023
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids Christoph Balada Max Bondorf Sheraz Ahmed Andreas Dengel M. Zdrallek 14 0 0 23 Sep 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 22 0 13 Jul 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Z. Wang Tong Geng Ang Li Yufei Ding AI4CE 44 0 0 16 Jun 2022
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems David J. Biagioni X. Zhang Dylan Wald Deepthi Vaidhynathan Rohit Chintala J. King Ahmed S. Zamzam 19 32 0 10 Nov 2021
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 595 0 28 Feb 2017