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Federated Multi-Agent Deep Reinforcement Learning Approach via
  Physics-Informed Reward for Multi-Microgrid Energy Management

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

29 December 2022
Yuanzheng Li
Shangyang He
Yang Li
Yang Shi
Zhigang Zeng
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management"

2 / 2 papers shown
Title
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
254
1,709
0
14 Apr 2018
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,261
0
19 Dec 2013
1