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Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial
  Buildings

Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

25 June 2020
Liang Yu
Yi Sun
Zhanbo Xu
Chao Shen
Dong Yue
Tao Jiang
X. Guan
    AI4CE
ArXivPDFHTML

Papers citing "Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings"

22 / 22 papers shown
Title
Experimental evaluation of offline reinforcement learning for HVAC
  control in buildings
Experimental evaluation of offline reinforcement learning for HVAC control in buildings
Jun Wang
Linyan Li
Qi Liu
Yu Yang
OffRL
AI4CE
30
1
0
15 Aug 2024
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
45
1
0
26 Jul 2024
An experimental evaluation of Deep Reinforcement Learning algorithms for
  HVAC control
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control
Antonio Manjavacas
Alejandro Campoy-Nieves
Javier Jiménez Raboso
Miguel Molina-Solana
Juan Gómez-Romero
AI4CE
36
8
0
11 Jan 2024
Active Reinforcement Learning for Robust Building Control
Active Reinforcement Learning for Robust Building Control
Doseok Jang
Larry Yan
Lucas Spangher
C. Spanos
43
1
0
16 Dec 2023
A Distributed ADMM-based Deep Learning Approach for Thermal Control in
  Multi-Zone Buildings under Demand Response Events
A Distributed ADMM-based Deep Learning Approach for Thermal Control in Multi-Zone Buildings under Demand Response Events
Vincent Taboga
H. Dagdougui
AI4CE
29
1
0
08 Dec 2023
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S.
  Ending the HIV Epidemic Plan
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan
Dinesh Sharma
Ankit Shah
Chaitra Gopalappa
45
0
0
01 Nov 2023
A Lightweight Calibrated Simulation Enabling Efficient Offline Learning
  for Optimal Control of Real Buildings
A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings
Judah Goldfeder
John Sipple
AI4CE
19
2
0
12 Oct 2023
Learning a Reward Function for User-Preferred Appliance Scheduling
Learning a Reward Function for User-Preferred Appliance Scheduling
N. Čović
Jochen Cremer
H. Pandžić
13
1
0
11 Oct 2023
Enhancing the Performance of Multi-Agent Reinforcement Learning for
  Controlling HVAC Systems
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems
Daniel R. Bayer
M. Pruckner
AI4CE
27
7
0
13 Sep 2023
A Comparison of Classical and Deep Reinforcement Learning Methods for
  HVAC Control
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control
Marshall Wang
John Willes
Thomas Jiralerspong
Matin Moezzi
OffRL
AI4CE
35
2
0
10 Aug 2023
Pre-Trained Large Language Models for Industrial Control
Pre-Trained Large Language Models for Industrial Control
Lei Song
Chuheng Zhang
Li Zhao
Jiang Bian
LM&Ro
AI4CE
32
12
0
06 Aug 2023
Laxity-Aware Scalable Reinforcement Learning for HVAC Control
Laxity-Aware Scalable Reinforcement Learning for HVAC Control
Ruohong Liu
Yuxin Pan
Yize Chen
AI4CE
14
0
0
29 Jun 2023
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep
  Reinforcement Learning Approach
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
Hongya Wang
Xiwen Chen
Natan Vital
Edward. Duffy
Abolfazl Razi
AI4CE
21
6
0
23 Jun 2023
TreeC: a method to generate interpretable energy management systems
  using a metaheuristic algorithm
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick
L. R. Camargo
M. A. Putratama
M. Messagie
Thierry Coosemans
22
2
0
17 Apr 2023
Machine Learning for Smart and Energy-Efficient Buildings
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das
Yu-Wen Lin
Utkarsha Agwan
Lucas Spangher
Alex Devonport
Yu Yang
Ján Drgoňa
A. Chong
S. Schiavon
C. Spanos
HAI
AI4CE
34
20
0
27 Nov 2022
Rethinking Individual Global Max in Cooperative Multi-Agent
  Reinforcement Learning
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
Yi-Te Hong
Yaochu Jin
Yang Tang
22
22
0
20 Sep 2022
AI for Global Climate Cooperation: Modeling Global Climate Negotiations,
  Agreements, and Long-Term Cooperation in RICE-N
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang
Andrew Robert Williams
Soham R. Phade
Sunil Srinivasa
Yang Zhang
Prateek Gupta
Yoshua Bengio
Stephan Zheng
AI4CE
27
21
0
15 Aug 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
29
2
0
22 Mar 2022
Physics-informed Evolutionary Strategy based Control for Mitigating
  Delayed Voltage Recovery
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery
Yan Du
Qiuhua Huang
Renke Huang
Tianzhixi Yin
Jie Tan
Wenhao Yu
Xinya Li
13
14
0
29 Nov 2021
Reinforcement Learning for Selective Key Applications in Power Systems:
  Recent Advances and Future Challenges
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen
Guannan Qu
Yujie Tang
S. Low
Na Li
24
227
0
27 Jan 2021
MILP-based Imitation Learning for HVAC control
MILP-based Imitation Learning for HVAC control
Huy Truong Dinh
Daehee Kim
6
17
0
01 Dec 2020
One for Many: Transfer Learning for Building HVAC Control
One for Many: Transfer Learning for Building HVAC Control
Shichao Xu
Yixuan Wang
Yanzhi Wang
Zheng O’Neill
Qi Zhu
AI4CE
15
66
0
09 Aug 2020
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