Cover Image

Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Wenhao, Quintana, Matias, Miller, Clayton
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Creating synthetic energy meter data using conditional diffusion and building metadata
by: Fu, Chun, et al.
Published: (2024)

Falsification-driven reinforcement learning for maritime motion planning
by: Müller, Marlon, et al.
Published: (2025)

Suppressing unknown disturbances to dynamical systems using machine learning
by: Restrepo, Juan G., et al.
Published: (2023)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)

Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)

Enhanced Transformer architecture for in-context learning of dynamical systems
by: Rufolo, Matteo, et al.
Published: (2024)

Data-assimilated model-informed reinforcement learning
by: Ozan, Defne E., et al.
Published: (2025)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

MPCritic: A plug-and-play MPC architecture for reinforcement learning
by: Lawrence, Nathan P., et al.
Published: (2025)

A modular framework for stabilizing deep reinforcement learning control
by: Lawrence, Nathan P., et al.
Published: (2023)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)

A dual mode adaptive basal-bolus advisor based on reinforcement learning
by: Sun, Qingnan, et al.
Published: (2019)

A Q-learning Approach for Adherence-Aware Recommendations
by: Faros, Ioannis, et al.
Published: (2023)

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
by: Van Puyvelde, Toon, et al.
Published: (2025)

Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
by: Yuan, Meng, et al.
Published: (2025)

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
by: Sheng, Xinyi, et al.
Published: (2025)

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
by: Gokhale, Gargya, et al.
Published: (2024)

Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022)

Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?
by: Ke, Zemian, et al.
Published: (2024)

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
by: Duan, Yaqi, et al.
Published: (2024)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
by: Lin, Yuan, et al.
Published: (2024)

BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings
by: Vittori, Filippo, et al.
Published: (2023)

Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
by: Bian, Yuexin, et al.
Published: (2025)

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)

Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)

Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning
by: Dadiotis, Ioannis, et al.
Published: (2025)

Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
by: Ju, Caleb, et al.
Published: (2024)

Beacon, a lightweight deep reinforcement learning benchmark library for flow control
by: Viquerat, Jonathan, et al.
Published: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

Using reinforcement learning to probe the role of feedback in skill acquisition
by: Terpin, Antonio, et al.
Published: (2025)

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
by: Liu, Chi, et al.
Published: (2025)

Accelerating process control and optimization via machine learning: A review
by: Mitrai, Ilias, et al.
Published: (2024)

Toward a foundational thermal model for residential buildings
by: Dai, Ting-Yu, et al.
Published: (2026)

End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)

Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis
by: Langtry, Max, et al.
Published: (2024)

Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
by: Yang, Juntang, et al.
Published: (2025)

Lagrangian-based online safe reinforcement learning for state-constrained systems
by: Bandyopadhyay, Soutrik, et al.
Published: (2023)

Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators
by: Treutlein, Manuel, et al.
Published: (2024)

SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)