A Hybrid Reinforcement and Self-Supervised Learning Aided Benders Decomposition Algorithm
Fuente:
arXiv
Guardado en:
| Autores principales: | Agyeman, Bernard T., Li, Zhe, Mitrai, Ilias, Daoutidis, Prodromos |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Feasibility-Aware Imitation Learning for Benders Decomposition
por: Agyeman, Bernard T., et al.
Publicado: (2026)
por: Agyeman, Bernard T., et al.
Publicado: (2026)
Graph-Based Imitation and Reinforcement Learning for Efficient Benders Decomposition
por: Agyeman, Bernard T., et al.
Publicado: (2025)
por: Agyeman, Bernard T., et al.
Publicado: (2025)
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
por: Mitrai, Ilias, et al.
Publicado: (2023)
por: Mitrai, Ilias, et al.
Publicado: (2023)
Learning to control inexact Benders decomposition via reinforcement learning
por: Li, Zhe, et al.
Publicado: (2025)
por: Li, Zhe, et al.
Publicado: (2025)
Accelerating process control and optimization via machine learning: A review
por: Mitrai, Ilias, et al.
Publicado: (2024)
por: Mitrai, Ilias, et al.
Publicado: (2024)
Learning interpretable and stable dynamical models via mixed-integer Lyapunov-constrained optimization
por: Li, Zhe, et al.
Publicado: (2026)
por: Li, Zhe, et al.
Publicado: (2026)
Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees
por: Mitrai, Ilias
Publicado: (2025)
por: Mitrai, Ilias
Publicado: (2025)
Learning regime-dependent governing equations: A symbolic decision tree approach
por: Mitrai, Ilias, et al.
Publicado: (2026)
por: Mitrai, Ilias, et al.
Publicado: (2026)
Grid Capacity Expansion under Data Centers and Electrified Manufacturing Large Loads
por: Lee, Jiyong, et al.
Publicado: (2026)
por: Lee, Jiyong, et al.
Publicado: (2026)
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling
por: Agyeman, Bernard T., et al.
Publicado: (2024)
por: Agyeman, Bernard T., et al.
Publicado: (2024)
Accelerating Hybrid Model Predictive Control using Warm-Started Generalized Benders Decomposition
por: Lin, Xuan
Publicado: (2024)
por: Lin, Xuan
Publicado: (2024)
Integer L-Shaped Method with Non-Supporting No-Good Optimality Cuts
por: Riley, Benjamin P., et al.
Publicado: (2025)
por: Riley, Benjamin P., et al.
Publicado: (2025)
A Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty
por: Borozan, Stefan, et al.
Publicado: (2023)
por: Borozan, Stefan, et al.
Publicado: (2023)
Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
por: Jacobsen, Sten Elling Tingstad, et al.
Publicado: (2025)
por: Jacobsen, Sten Elling Tingstad, et al.
Publicado: (2025)
Monitoring autonomous persistent surveillance missions using invariance
por: Nenchev, Vladislav, et al.
Publicado: (2026)
por: Nenchev, Vladislav, et al.
Publicado: (2026)
Learning to Cut: Reinforcement Learning for Benders Decomposition
por: Cai, Haochen, et al.
Publicado: (2026)
por: Cai, Haochen, et al.
Publicado: (2026)
A semi-centralized multi-agent RL framework for efficient irrigation scheduling
por: Agyeman, Bernard T., et al.
Publicado: (2024)
por: Agyeman, Bernard T., et al.
Publicado: (2024)
Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
por: Piansky, Ryan, et al.
Publicado: (2025)
por: Piansky, Ryan, et al.
Publicado: (2025)
Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation
por: Debnath, Sarupa, et al.
Publicado: (2024)
por: Debnath, Sarupa, et al.
Publicado: (2024)
Enhancing Power Systems Transmission Adequacy via Optimal BESS Siting and Sizing using Benders Decomposition with Feasibility Cuts
por: Larroux, Ginevra, et al.
Publicado: (2026)
por: Larroux, Ginevra, et al.
Publicado: (2026)
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
por: Agyeman, Bernard T., et al.
Publicado: (2023)
por: Agyeman, Bernard T., et al.
Publicado: (2023)
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
por: Li, Zhouchang, et al.
Publicado: (2025)
por: Li, Zhouchang, et al.
Publicado: (2025)
Reinforcement Learning Aided Sequential Optimization for Unsignalized Intersection Management of Robot Traffic
por: G., Nishchal Hoysal, et al.
Publicado: (2023)
por: G., Nishchal Hoysal, et al.
Publicado: (2023)
RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking
por: Wang, Zhitao, et al.
Publicado: (2025)
por: Wang, Zhitao, et al.
Publicado: (2025)
Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
por: Law, Jun Wen, et al.
Publicado: (2026)
por: Law, Jun Wen, et al.
Publicado: (2026)
Tensor Decompositions for Online Grid-Based Terrain-Aided Navigation
por: Matoušek, J., et al.
Publicado: (2026)
por: Matoušek, J., et al.
Publicado: (2026)
Improving Functional Reliability of Near-Field Monitoring for Emergency Braking in Autonomous Vehicles
por: Pan, Junnan, et al.
Publicado: (2025)
por: Pan, Junnan, et al.
Publicado: (2025)
Deep Reinforcement Learning-Aided Frequency Control of LCC-S Resonant Converters for Wireless Power Transfer Systems
por: Safari, Reza, et al.
Publicado: (2025)
por: Safari, Reza, et al.
Publicado: (2025)
Disjunctive Benders Decomposition
por: Fang, Kaiwen, et al.
Publicado: (2025)
por: Fang, Kaiwen, et al.
Publicado: (2025)
Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse
por: Mazzi, Nicolò, et al.
Publicado: (2025)
por: Mazzi, Nicolò, et al.
Publicado: (2025)
Benders Decomposition for Passenger-Oriented Train Timetabling with Hybrid Periodicity
por: Yao, Zhiyuan, et al.
Publicado: (2025)
por: Yao, Zhiyuan, et al.
Publicado: (2025)
Reachability Analysis Using Hybrid Zonotopes and Functional Decomposition
por: Siefert, Jacob A., et al.
Publicado: (2023)
por: Siefert, Jacob A., et al.
Publicado: (2023)
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
por: Li, Yang, et al.
Publicado: (2024)
por: Li, Yang, et al.
Publicado: (2024)
Safe Reinforcement Learning with Minimal Supervision
por: Quessy, Alexander, et al.
Publicado: (2025)
por: Quessy, Alexander, et al.
Publicado: (2025)
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
por: Song, Fei, et al.
Publicado: (2024)
por: Song, Fei, et al.
Publicado: (2024)
AirBender: Adaptive Transportation of Bendable Objects Using Dual UAVs
por: Xu, Jiawei, et al.
Publicado: (2026)
por: Xu, Jiawei, et al.
Publicado: (2026)
A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
por: Hao, Wenjian, et al.
Publicado: (2025)
por: Hao, Wenjian, et al.
Publicado: (2025)
A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game
por: Hu, Penglin, et al.
Publicado: (2025)
por: Hu, Penglin, et al.
Publicado: (2025)
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method
por: Chung, Sungjoo, et al.
Publicado: (2024)
por: Chung, Sungjoo, et al.
Publicado: (2024)
A Compact Hybrid Battery Thermal Management System for Enhanced Cooling
por: Lyu, Zhipeng, et al.
Publicado: (2024)
por: Lyu, Zhipeng, et al.
Publicado: (2024)
Ejemplares similares
-
Feasibility-Aware Imitation Learning for Benders Decomposition
por: Agyeman, Bernard T., et al.
Publicado: (2026) -
Graph-Based Imitation and Reinforcement Learning for Efficient Benders Decomposition
por: Agyeman, Bernard T., et al.
Publicado: (2025) -
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
por: Mitrai, Ilias, et al.
Publicado: (2023) -
Learning to control inexact Benders decomposition via reinforcement learning
por: Li, Zhe, et al.
Publicado: (2025) -
Accelerating process control and optimization via machine learning: A review
por: Mitrai, Ilias, et al.
Publicado: (2024)