Cover Image

Optimization and Learning in Open Multi-Agent Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deplano, Diego, Bastianello, Nicola, Franceschelli, Mauro, Johansson, Karl H.
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning Multiagent Systems Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

Personalized and Resilient Distributed Learning Through Opinion Dynamics
by: Ballotta, Luca, et al.
Published: (2025)

Novel Stability Conditions for Nonlinear Monotone Systems and Consensus in Multi-Agent Networks
by: Deplano, Diego, et al.
Published: (2023)

A Nonlinear Perron-Frobenius Approach for Stability and Consensus of Discrete-Time Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2019)

Dynamic Max-Consensus and Size Estimation of Anonymous Multi-Agent Networks
by: Deplano, Diego, et al.
Published: (2020)

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
by: Deplano, Diego, et al.
Published: (2025)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
by: Raghavan, Aneesh, et al.
Published: (2025)

Communication-Efficient Stochastic Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Algebraic Connectivity Control and Maintenance in Multi-Agent Networks under Attack
by: Zhao, Wenjie, et al.
Published: (2024)

Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons
by: Vizuete, Renato, et al.
Published: (2025)

Major-Minor Mean Field Multi-Agent Reinforcement Learning
by: Cui, Kai, et al.
Published: (2023)

Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
by: Shi, Zhaoyang
Published: (2025)

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025)

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
by: Zhang, Qixin, et al.
Published: (2025)

Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
by: Kaza, Kesav, et al.
Published: (2025)

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
by: Zhang, Qixin, et al.
Published: (2025)

Principled Learning-to-Communicate with Quasi-Classical Information Structures
by: Liu, Xiangyu, et al.
Published: (2026)

Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)

On the Reliability Limits of LLM-Based Multi-Agent Planning
by: Ao, Ruicheng, et al.
Published: (2026)

Distributed Quasi-Newton Method for Multi-Agent Optimization
by: Shorinwa, Ola, et al.
Published: (2024)

Communication-Efficient Learning for Satellite Constellations
by: Tudose, Ruxandra-Stefania, et al.
Published: (2025)

High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
by: Armacki, Aleksandar, et al.
Published: (2026)

Formation Shape Control using the Gromov-Wasserstein Metric
by: Nakashima, Haruto, et al.
Published: (2025)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
by: Eldesoukey, Asmaa, et al.
Published: (2026)

Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
by: Xu, Zirui, et al.
Published: (2026)

An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)

A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems
by: Xu, Ping, et al.
Published: (2019)

Diffusion Stochastic Learning Over Adaptive Competing Networks
by: Zhao, Yike, et al.
Published: (2025)

Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control
by: Cheng, Zilong, et al.
Published: (2021)

Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)

Deep Distributed Optimization for Large-Scale Quadratic Programming
by: Saravanos, Augustinos D., et al.
Published: (2024)

Adaptive Decentralized Composite Optimization via Three-Operator Splitting
by: Chen, Xiaokai, et al.
Published: (2026)

Welfare and Cost Aggregation for Multi-Agent Control: When to Choose Which Social Cost Function, and Why?
by: Shilov, Ilia, et al.
Published: (2025)