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Preference adaptive multi-objective HVAC control using a vectorized deep transformer Q-network

delete2026-03-02
delete0
PRE
AI
R
Richa Verma
V
Vadim Kaparin
D
Dinesh Kumar
J
Juri Belikov
DOI：10.1016/j.conengprac.2026.106886delete
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摘要

摘要

En 中文
• 提出了一种基于变换器的强化学习控制器，用于在部分可观测性条件下进行多目标暖通空调控制。• 该方法直接从向量值奖励中学习，优化舒适度和能耗，无需奖励标量化。• 在BOPTEST测试平台上的仿真结果表明，该方法在Pareto平滑性和适应性方面有所提升。
Keyword:
Transformer
HVAC control
Multi-objective optimization
Reinforcement learning
Partial observability

期刊

Control Engineering Practice 封面图
Control Engineering Practice
IF:
4.6
论文数:
5.7K
被引数:
1.1W

机构

T
Tallinn University of Technology
学者数:
4.3K
论文数: 3.1K
被引数: 4.5K
U
university of bristol
学者数:
4.2K
论文数: 2.0K
被引数: 1
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