Cover Image

Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Kyeonghyeon, Concha, David Molina, Lee, Hyun-Rok, Lee, Chi-Guhn, Lee, Taesik
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Algorithmic Contract Design with Reinforcement Learning Agents
by: Concha, David Molina, et al.
Published: (2024)

Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
by: Concha, David Molina, et al.
Published: (2024)

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning
by: Moslemi, Koorosh, et al.
Published: (2025)

Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)

A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
by: Sun, Ruoyu, et al.
Published: (2025)

Kernel-based learning with guarantees for multi-agent applications
by: Kowalczyk, Krzysztof, et al.
Published: (2024)

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2024)

A cutting-surface consensus approach for distributed robust optimization of multi-agent systems
by: Fu, Jun, et al.
Published: (2023)

FoX: Formation-aware exploration in multi-agent reinforcement learning
by: Jo, Yonghyeon, et al.
Published: (2023)

Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
by: Fu, Kevin, et al.
Published: (2025)

Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
by: Franco-Vivo, Manuel
Published: (2025)

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2025)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
by: Tessera, Kale-ab Abebe, et al.
Published: (2024)

Adaptive routing protocols for determining optimal paths in AI multi-agent systems: a priority- and learning-enhanced approach
by: Panayotov, Theodor, et al.
Published: (2025)

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

Middleware-based multi-agent development environment for building and testing distributed intelligent systems
by: Aguayo-Canela, Francisco José, et al.
Published: (2024)

AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
by: Takayama, Shota, et al.
Published: (2025)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
by: Lee, Xian Yeow, et al.
Published: (2024)

Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
by: Evangelou, Nikolaos, et al.
Published: (2023)

A systematic review of norm emergence in multi-agent systems
by: Cordova, Carmengelys, et al.
Published: (2024)

Probabilistic Multi-Agent Aircraft Landing Time Prediction
by: Kim, Kyungmin, et al.
Published: (2025)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
by: Lei, Shiqi, et al.
Published: (2024)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

The impact of behavioral diversity in multi-agent reinforcement learning
by: Bettini, Matteo, et al.
Published: (2024)

The challenge of hidden gifts in multi-agent reinforcement learning
by: Malenfant, Dane, et al.
Published: (2025)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)

Adaptation of Parameters in Heterogeneous Multi-agent Systems
by: Shim, Hyungbo, et al.
Published: (2025)

The price of decentralization in managing engineering systems through multi-agent reinforcement learning
by: Bhustali, Prateek, et al.
Published: (2026)

Controlling identical linear multi-agent systems over directed graphs
by: Zaupa, Nicola, et al.
Published: (2023)

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
by: Lee, Hayeong, et al.
Published: (2026)

CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
by: Yu, Yifan, et al.
Published: (2025)

Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi
by: Bredell, F., et al.
Published: (2024)

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

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation
by: Yu, Seungjun, et al.
Published: (2025)

MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution
by: Kim, Sunghyun, et al.
Published: (2026)

Select to Perfect: Imitating desired behavior from large multi-agent data
by: Franzmeyer, Tim, et al.
Published: (2024)

Black-box Bayesian inference for economic agent-based models
by: Dyer, Joel, et al.
Published: (2022)