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Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A
  Multi-Agent Deep Reinforcement Learning Approach
v1v2v3 (latest)

Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

IEEE Transactions on Network and Service Management (TNSM), 2020
21 February 2020
M. S. Munir
S. F. Abedin
N. H. Tran
Zhu Han
Eui-nam Huh
Choong Seon Hong
ArXiv (abs)PDFHTML

Papers citing "Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach"

6 / 6 papers shown
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning:
  A Systematic Review
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
Hafez Ghaemi
Shirin Jamshidi
Mohammad Mashreghi
M. N. Ahmadabadi
Hamed Kebriaei
313
2
0
10 Jun 2024
A Zero Trust Framework for Realization and Defense Against Generative AI
  Attacks in Power Grid
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
M. S. Munir
Sravanthi Proddatoori
Manjushree Muralidhara
Walid Saad
Zhu Han
Sachin Shetty
302
14
0
11 Mar 2024
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative
  Markov Games
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
Hafez Ghaemi
Hamed Kebriaei
Alireza Ramezani Moghaddam
Majid Nili Ahamadabadi
297
3
0
08 Feb 2024
Energy Efficient Deployment and Orchestration of Computing Resources at
  the Network Edge: a Survey on Algorithms, Trends and Open Challenges
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
N. Shalavi
Giovanni Perin
Andrea Zanella
M. Rossi
289
8
0
28 Sep 2022
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
Marie Siew
Shikhar Sharma
Zekai Li
Kun Guo
Chao Xu
Tania Lorido-Botran
Tony Q.S. Quek
Carlee Joe-Wong
379
1
0
28 Sep 2022
Risk Adversarial Learning System for Connected and Autonomous Vehicle
  Charging
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
M. S. Munir
Ki Tae Kim
K. Thar
Dusit Niyato
Choong Seon Hong
186
9
0
02 Aug 2021
1
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