Cover Image

Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maurer, Nathan, Kaushik, Harshal, Jacob, Roshni Anna, Zhang, Jie, Chowdhury, Souma
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-agent Power Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks
by: Kaushik, Harshal D., et al.
Published: (2025)

Distribution Network Restoration: Resource Scheduling Considering Coupled Transportation-Power Networks
by: Kaushik, Harshal D., et al.
Published: (2024)

Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation
by: Paul, Steve, et al.
Published: (2024)

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
by: Jacob, Roshni Anna, et al.
Published: (2026)

Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints
by: Wang, Jingbo, et al.
Published: (2026)

Electric Vehicle Charger Infrastructure Planning: Demand Estimation, Coverage Optimization Over an Integrated Power Grid
by: Kaushik, Harshal D., et al.
Published: (2025)

Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion
by: Wang, Jingbo, et al.
Published: (2024)

Faster Thermal Profiling of a Lunar Rover with Machine Learning Adapted Finite Difference Model
by: Weber, Samuel, et al.
Published: (2026)

Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties
by: Paul, Steve, et al.
Published: (2024)

A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility
by: Poddar, Prithvi, et al.
Published: (2024)

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning
by: Poddar, Prithvi, et al.
Published: (2025)

Transactive Control of Coupled Electric Power and District Heating Networks
by: Maurer, Jona
Published: (2023)

Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
by: Zhang, Ran, et al.
Published: (2024)

Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems
by: Jalilian, Ali, et al.
Published: (2023)

Repair Crew Routing for Infrastructure Network Restoration under Incomplete Information
by: Biswas, Subhojit, et al.
Published: (2025)

Exploring Efficient Quantification of Modeling Uncertainties with Differentiable Physics-Informed Machine Learning Architectures
by: Oddiraju, Manaswin, et al.
Published: (2025)

Designing Active Tether-Net Systems for Space Debris Capture with Graph-Learning-Aided Mixed-Combinatorial Optimization
by: Liu, Feng, et al.
Published: (2026)

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
by: Oddiraju, Manaswin, et al.
Published: (2024)

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)

Policy Learning with Competing Agents
by: Sahoo, Roshni, et al.
Published: (2022)

An Optimal Transport Approach for Network Regression
by: Zalles, Alex G., et al.
Published: (2024)

A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems
by: KrisshnaKumar, Prajit, et al.
Published: (2024)

Learning Optimal Crew Dispatch for Grid Restoration Following an Earthquake
by: Amani, Farshad, et al.
Published: (2025)

Non-Euclidean Mixture Model for Social Network Embedding
by: Iyer, Roshni G., et al.
Published: (2024)

Road Damage and Manhole Detection using Deep Learning for Smart Cities: A Polygonal Annotation Approach
by: Hossen, Rasel, et al.
Published: (2025)

Ramanujan Bigraphs
by: Evra, Shai, et al.
Published: (2023)

Road Network Representation Learning with the Third Law of Geography
by: Zhou, Haicang, et al.
Published: (2024)

Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
by: Ma, Jingtian, et al.
Published: (2025)

Hierarchical Attention Models for Multi-Relational Graphs
by: Iyer, Roshni G., et al.
Published: (2024)

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
by: Awasthi, Ankita, et al.
Published: (2026)

Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network
by: Zhuang, Dingyi, et al.
Published: (2024)

Training Neural Networks for Modularity aids Interpretability
by: Golechha, Satvik, et al.
Published: (2024)

Learning from a Biased Sample
by: Sahoo, Roshni, et al.
Published: (2022)

An Empirical Survey and Benchmark of Learned Distance Indexes for Road Networks
by: Choudhary, Gautam, et al.
Published: (2026)

Model-Based Transfer Learning for Real-Time Damage Assessment of Bridge Networks
by: Tomassini, Elisa, et al.
Published: (2025)

Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching
by: Song, Fanghui, et al.
Published: (2025)

Older Adults' Preferences for Feedback Cadence from an Exercise Coach Robot
by: Kaushik, Roshni, et al.
Published: (2026)

Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data
by: Zeng, Jinwei, et al.
Published: (2024)

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2023)

Bigraph percolation problems
by: Coregliano, Leonardo N.
Published: (2024)