Image de couverture de livre

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Saifullah, M., Papakonstantinou, K. G., Bhattacharya, A., Stoffels, S. M., Andriotis, C. P.
Format:	Preprint
Publié:	2024
Sujets:	Multiagent Systems Artificial Intelligence Machine Learning Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The price of decentralization in managing engineering systems through multi-agent reinforcement learning
par: Bhustali, Prateek, et autres
Publié: (2026)

Enhancing healthcare infrastructure resilience through agent-based simulation methods
par: Carramiñana, David, et autres
Publié: (2025)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
par: Syed, Shahbaz P Qadri, et autres
Publié: (2025)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
par: Ren, Zhaolin, et autres
Publié: (2024)

Adaptation of Parameters in Heterogeneous Multi-agent Systems
par: Shim, Hyungbo, et autres
Publié: (2025)

Multi-agent assignment via state augmented reinforcement learning
par: Agorio, Leopoldo, et autres
Publié: (2024)

Distributed fixed-point algorithms for dynamic convex optimization over decentralized and unbalanced wireless networks
par: Agrawal, Navneet, et autres
Publié: (2024)

A Multi-agent System for Hybrid Optimization
par: Fraga, Eric S., et autres
Publié: (2025)

Contrastive learning-based agent modeling for deep reinforcement learning
par: Ma, Wenhao, et autres
Publié: (2023)

Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
par: Gelpí, Rebekah A., et autres
Publié: (2024)

Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control
par: Dong, Haoze, et autres
Publié: (2025)

Fundamental diagram of urban rail transit considering train-passenger interaction
par: Seo, Toru, et autres
Publié: (2017)

Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
par: Studt, Max, et autres
Publié: (2026)

Fast algorithm for centralized multi-agent maze exploration
par: Crnković, Bojan, et autres
Publié: (2023)

An active learning method for solving competitive multi-agent decision-making and control problems
par: Fabiani, Filippo, et autres
Publié: (2022)

Robust Multi-Agent Decision-Making in Finite-Population Games
par: Park, Shinkyu, et autres
Publié: (2025)

Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons
par: Vizuete, Renato, et autres
Publié: (2025)

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
par: Bi, Mingjie, et autres
Publié: (2025)

A cutting-surface consensus approach for distributed robust optimization of multi-agent systems
par: Fu, Jun, et autres
Publié: (2023)

Emergence of agriculture in an artificial society of reinforcement learning agents
par: Hamon, Gautier, et autres
Publié: (2026)

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
par: Zhang, Yiming, et autres
Publié: (2023)

GOSPA-Driven Non-Myopic Multi-Sensor Management with Multi-Bernoulli Filtering
par: Jones, George, et autres
Publié: (2025)

EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure
par: Balogun, Emmanuel, et autres
Publié: (2024)

Hamilton's Rule for Enabling Altruism in Multi-Agent Systems
par: Butler, Brooks A., et autres
Publié: (2025)

Resilient Quantized Consensus in Multi-Hop Relay Networks
par: Yuan, Liwei, et autres
Publié: (2025)

Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
par: Fröhle, Markus, et autres
Publié: (2019)

Effect of Graph Gluing on Consensus in Networked Multi-Agent Systems
par: Moghadam, Rohollah, et autres
Publié: (2026)

Fully Byzantine-Resilient Distributed Multi-Agent Q-Learning
par: Lee, Haejoon, et autres
Publié: (2026)

Toward Goal-Oriented Communication in Multi-Agent Systems: An overview
par: Charalambous, Themistoklis, et autres
Publié: (2025)

An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting
par: John, Josy, et autres
Publié: (2022)

ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
par: Caregnato-Neto, Angelo, et autres
Publié: (2024)

Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control
par: Kim, Hansung, et autres
Publié: (2024)

Heterogeneous Multi-Agent Task-Assignment with Uncertain Execution Times and Preferences
par: Wei, Qinshuang, et autres
Publié: (2025)

Dynamic Leader-Follower Consensus with Adversaries: A Multi-Hop Relay Approach
par: Yuan, Liwei, et autres
Publié: (2025)

Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
par: Li, Zhirun, et autres
Publié: (2026)

Multi-Agent Temporal Logic Planning via Penalty Functions and Block-Coordinate Optimization
par: Vlahakis, Eleftherios E., et autres
Publié: (2026)

MARLIN: Multi-Agent Reinforcement Learning with Murmuration Intelligence and LLM Guidance for Reservoir Management
par: Fu, Heming, et autres
Publié: (2025)

Prioritize Team Actions: Multi-Agent Temporal Logic Task Planning with Ordering Constraints
par: Ye, Bowen, et autres
Publié: (2024)

CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments
par: Bi, Mingjie
Publié: (2026)

Asynchronous Approximate Byzantine Consensus: A Multi-hop Relay Method and Tight Graph Conditions
par: Yuan, Liwei, et autres
Publié: (2024)