A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Sekar, Manonmani, Nezamoddini, Nasim |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
by: Sekar, Manonmani, et al.
Published: (2025)
by: Sekar, Manonmani, et al.
Published: (2025)
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
by: Jang, Jaeyeon, et al.
Published: (2024)
by: Jang, Jaeyeon, et al.
Published: (2024)
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)
by: Du, Haikuo, et al.
Published: (2025)
Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics: A Multi-Agent Reinforcement Learning Approach
by: Akman, Ahmet Onur, et al.
Published: (2025)
by: Akman, Ahmet Onur, et al.
Published: (2025)
Large Language Model-Enabled Multi-Agent Manufacturing Systems
by: Lim, Jonghan, et al.
Published: (2024)
by: Lim, Jonghan, et al.
Published: (2024)
A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems
by: Lim, Jonghan, et al.
Published: (2025)
by: Lim, Jonghan, et al.
Published: (2025)
NegotiationGym: Self-Optimizing Agents in a Multi-Agent Social Simulation Environment
by: Mangla, Shashank, et al.
Published: (2025)
by: Mangla, Shashank, et al.
Published: (2025)
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)
by: Zhang, Yuli, et al.
Published: (2025)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
by: Biasoto, Luiza Pellin, et al.
Published: (2024)
by: Biasoto, Luiza Pellin, et al.
Published: (2024)
Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
by: Adams, Hugh, et al.
Published: (2025)
by: Adams, Hugh, et al.
Published: (2025)
Graph Based Deep Reinforcement Learning Aided by Transformers for Multi-Agent Cooperation
by: Elrod, Michael, et al.
Published: (2025)
by: Elrod, Michael, et al.
Published: (2025)
AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)
by: Bai, Zishan, et al.
Published: (2025)
Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Resilient Multi-Agent Negotiation for Medical Supply Chains:Integrating LLMs and Blockchain for Transparent Coordination
by: ALMutairi, Mariam, et al.
Published: (2025)
by: ALMutairi, Mariam, et al.
Published: (2025)
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)
by: Yang, Guang, et al.
Published: (2025)
Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)
by: Hu, Tianyi, et al.
Published: (2024)
Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration
by: Song, Xinyuan, et al.
Published: (2025)
by: Song, Xinyuan, et al.
Published: (2025)
Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
by: Trombino, Danilo, et al.
Published: (2025)
by: Trombino, Danilo, et al.
Published: (2025)
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems
by: Rana, Ashish, et al.
Published: (2024)
by: Rana, Ashish, et al.
Published: (2024)
Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework
by: Han, Yu, et al.
Published: (2024)
by: Han, Yu, et al.
Published: (2024)
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)
by: Feng, Pu, et al.
Published: (2024)
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, et al.
Published: (2024)
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
by: Li, Zhuhui, et al.
Published: (2025)
by: Li, Zhuhui, et al.
Published: (2025)
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
by: Farahani, Mojtaba A., et al.
Published: (2025)
by: Farahani, Mojtaba A., et al.
Published: (2025)
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
by: Bolleddu, Deepak
Published: (2025)
by: Bolleddu, Deepak
Published: (2025)
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)
by: Liao, Wei-Chen, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)
by: Mai, Yuxiang, et al.
Published: (2025)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
SAMVAD: A Multi-Agent System for Simulating Judicial Deliberation Dynamics in India
by: Devadiga, Prathamesh, et al.
Published: (2025)
by: Devadiga, Prathamesh, et al.
Published: (2025)
Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)
by: Wolfe, Alicia P., et al.
Published: (2023)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)
by: Fung, Ho Long, et al.
Published: (2022)
Similar Items
-
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
by: Sekar, Manonmani, et al.
Published: (2025) -
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
by: Jang, Jaeyeon, et al.
Published: (2024) -
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025) -
Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics: A Multi-Agent Reinforcement Learning Approach
by: Akman, Ahmet Onur, et al.
Published: (2025) -
Large Language Model-Enabled Multi-Agent Manufacturing Systems
by: Lim, Jonghan, et al.
Published: (2024)