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Real-world challenges for multi-agent reinforcement learning in
  grid-interactive buildings

Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings

25 November 2021
Kingsley Nweye
Bo Liu
Peter Stone
Zoltán Nagy
    OffRL
    AI4CE
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Papers citing "Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings"

2 / 2 papers shown
Title
MERLIN: Multi-agent offline and transfer learning for occupant-centric
  energy flexible operation of grid-interactive communities using smart meter
  data and CityLearn
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn
Kingsley Nweye
S. Sankaranarayanan
Zoltán Nagy
OffRL
AI4CE
17
25
0
31 Dec 2022
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
132
78
0
01 Feb 2021
1