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Data-driven battery operation for energy arbitrage using rainbow deep
  reinforcement learning

Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning

10 June 2021
Daniel J. B. Harrold
Jun Cao
Zhong Fan
ArXivPDFHTML

Papers citing "Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning"

4 / 4 papers shown
Title
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Rakesh Nadig
Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
Mohammad Sadrosadati
Jisung Park
O. Mutlu
Onur Mutlu
68
0
0
26 Mar 2025
Credit-cognisant reinforcement learning for multi-agent cooperation
Credit-cognisant reinforcement learning for multi-agent cooperation
F. Bredell
S. M. I. H. A. Engelbrecht
M. I. J. C. Schoeman
13
0
0
18 Nov 2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems
  Using Online Reinforcement Learning
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh
Rakesh Nadig
Jisung Park
Rahul Bera
Nastaran Hajinazar
D. Novo
Juan Gómez Luna
S. Stuijk
Henk Corporaal
O. Mutlu
65
33
0
15 May 2022
Renewable energy integration and microgrid energy trading using
  multi-agent deep reinforcement learning
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold
Jun Cao
Zhongbo Fan
39
61
0
21 Nov 2021
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