Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?
Fuente:
arXiv
Guardado en:
| Autores principales: | Ke, Zemian, Zou, Qiling, Liu, Jiachao, Qian, Sean |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On Path-based Marginal Cost of Heterogeneous Traffic Flow for General Networks
por: Liu, Jiachao, et al.
Publicado: (2026)
por: Liu, Jiachao, et al.
Publicado: (2026)
Potential detrimental effects of real-time route recommendations in traffic networks
por: Toso, Tommaso, et al.
Publicado: (2023)
por: Toso, Tommaso, et al.
Publicado: (2023)
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
por: Lawrence, Nathan P., et al.
Publicado: (2023)
por: Lawrence, Nathan P., et al.
Publicado: (2023)
Large-scale traffic signal control using machine learning: some traffic flow considerations
por: Laval, Jorge A., et al.
Publicado: (2019)
por: Laval, Jorge A., et al.
Publicado: (2019)
CycLight: learning traffic signal cooperation with a cycle-level strategy
por: Han, Gengyue, et al.
Publicado: (2024)
por: Han, Gengyue, et al.
Publicado: (2024)
Continual uncertainty learning
por: Yonezawa, Heisei, et al.
Publicado: (2026)
por: Yonezawa, Heisei, et al.
Publicado: (2026)
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
por: Lin, Yuan, et al.
Publicado: (2024)
por: Lin, Yuan, et al.
Publicado: (2024)
Adaptive traffic signal control optimization using a novel road partition and multi-channel state representation method
por: Deng, Maojiang, et al.
Publicado: (2026)
por: Deng, Maojiang, et al.
Publicado: (2026)
End-to-end differentiable network traffic simulation with dynamic route choice
por: Seo, Toru
Publicado: (2026)
por: Seo, Toru
Publicado: (2026)
Guided Safe Shooting: model based reinforcement learning with safety constraints
por: Paolo, Giuseppe, et al.
Publicado: (2022)
por: Paolo, Giuseppe, et al.
Publicado: (2022)
Multi-agent assignment via state augmented reinforcement learning
por: Agorio, Leopoldo, et al.
Publicado: (2024)
por: Agorio, Leopoldo, et al.
Publicado: (2024)
Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
por: Ruddick, Julian, et al.
Publicado: (2024)
por: Ruddick, Julian, et al.
Publicado: (2024)
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle
por: AbdElSalam, Mohamed, et al.
Publicado: (2024)
por: AbdElSalam, Mohamed, et al.
Publicado: (2024)
A Stochastic-MILP dispatch optimization model for Concentrated Solar Thermal under uncertainty
por: Mohammadzadeh, Navid, et al.
Publicado: (2024)
por: Mohammadzadeh, Navid, et al.
Publicado: (2024)
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
por: Zhang, Hao, et al.
Publicado: (2024)
por: Zhang, Hao, et al.
Publicado: (2024)
Contingency-constrained economic dispatch with safe reinforcement learning
por: Eichelbeck, Michael, et al.
Publicado: (2022)
por: Eichelbeck, Michael, et al.
Publicado: (2022)
Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
por: Yuan, Meng, et al.
Publicado: (2025)
por: Yuan, Meng, et al.
Publicado: (2025)
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
por: Ju, Caleb, et al.
Publicado: (2024)
por: Ju, Caleb, et al.
Publicado: (2024)
Travel time optimization on multi-AGV routing by reverse annealing
por: Haba, Renichiro, et al.
Publicado: (2022)
por: Haba, Renichiro, et al.
Publicado: (2022)
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
por: Saifullah, M., et al.
Publicado: (2024)
por: Saifullah, M., et al.
Publicado: (2024)
Using reinforcement learning to probe the role of feedback in skill acquisition
por: Terpin, Antonio, et al.
Publicado: (2025)
por: Terpin, Antonio, et al.
Publicado: (2025)
Probabilistically safe and efficient model-based reinforcement learning
por: Airaldi, Filippo, et al.
Publicado: (2025)
por: Airaldi, Filippo, et al.
Publicado: (2025)
Adaptive model predictive control for traffic signal timing with unknown demand and parameters
por: Li, Zhexian, et al.
Publicado: (2025)
por: Li, Zhexian, et al.
Publicado: (2025)
Categorical semantics of compositional reinforcement learning
por: Bakirtzis, Georgios, et al.
Publicado: (2022)
por: Bakirtzis, Georgios, et al.
Publicado: (2022)
Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
por: Yang, Juntang, et al.
Publicado: (2025)
por: Yang, Juntang, et al.
Publicado: (2025)
PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
por: Wen, Yilin, et al.
Publicado: (2026)
por: Wen, Yilin, et al.
Publicado: (2026)
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
por: Ke, Zemian, et al.
Publicado: (2024)
por: Ke, Zemian, et al.
Publicado: (2024)
A review on modelling, evaluation, and optimization of cyber-physical system reliability
por: Uddin, Moslem, et al.
Publicado: (2025)
por: Uddin, Moslem, et al.
Publicado: (2025)
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
por: He, Yang, et al.
Publicado: (2024)
por: He, Yang, et al.
Publicado: (2024)
Lagrangian-based online safe reinforcement learning for state-constrained systems
por: Bandyopadhyay, Soutrik, et al.
Publicado: (2023)
por: Bandyopadhyay, Soutrik, et al.
Publicado: (2023)
Towards optimal control of ensembles of discrete-time systems
por: Fiedler, Christian, et al.
Publicado: (2025)
por: Fiedler, Christian, et al.
Publicado: (2025)
Smoothing traffic flow through automated vehicle control with optimal parameter selection
por: Wang, Shian, et al.
Publicado: (2025)
por: Wang, Shian, et al.
Publicado: (2025)
Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets
por: Kumar, Yogesh Pipada Sunil, et al.
Publicado: (2026)
por: Kumar, Yogesh Pipada Sunil, et al.
Publicado: (2026)
Reinforcement Twinning: from digital twins to model-based reinforcement learning
por: Schena, Lorenzo, et al.
Publicado: (2023)
por: Schena, Lorenzo, et al.
Publicado: (2023)
Data-assimilated model-informed reinforcement learning
por: Ozan, Defne E., et al.
Publicado: (2025)
por: Ozan, Defne E., et al.
Publicado: (2025)
Natural-gas storage modelling by deep reinforcement learning
por: Balaconi, Tiziano, et al.
Publicado: (2025)
por: Balaconi, Tiziano, et al.
Publicado: (2025)
On learning racing policies with reinforcement learning
por: Czechmanowski, Grzegorz, et al.
Publicado: (2025)
por: Czechmanowski, Grzegorz, et al.
Publicado: (2025)
An anisotropic traffic flow model with look-ahead effect for mixed autonomy traffic
por: Hui, Shouwei, et al.
Publicado: (2024)
por: Hui, Shouwei, et al.
Publicado: (2024)
On the continuity and smoothness of the value function in reinforcement learning and optimal control
por: Harder, Hans, et al.
Publicado: (2024)
por: Harder, Hans, et al.
Publicado: (2024)
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
por: Lehna, Malte, et al.
Publicado: (2023)
por: Lehna, Malte, et al.
Publicado: (2023)
Ejemplares similares
-
On Path-based Marginal Cost of Heterogeneous Traffic Flow for General Networks
por: Liu, Jiachao, et al.
Publicado: (2026) -
Potential detrimental effects of real-time route recommendations in traffic networks
por: Toso, Tommaso, et al.
Publicado: (2023) -
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
por: Lawrence, Nathan P., et al.
Publicado: (2023) -
Large-scale traffic signal control using machine learning: some traffic flow considerations
por: Laval, Jorge A., et al.
Publicado: (2019) -
CycLight: learning traffic signal cooperation with a cycle-level strategy
por: Han, Gengyue, et al.
Publicado: (2024)