Cover Image

Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Samadi, Moein E., Schuppert, Andreas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Smooth Kolmogorov Arnold networks enabling structural knowledge representation
by: Samadi, Moein E., et al.
Published: (2024)

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
by: Bychkov, Oleksii
Published: (2026)

Signaling and Social Learning in Swarms of Robots
by: Cazenille, Leo, et al.
Published: (2024)

Performance Prediction of Hub-Based Swarms
by: Jain, Puneet, et al.
Published: (2024)

Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models
by: Vasilevski, Kirill, et al.
Published: (2024)

LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
by: Parsaee, Ali, et al.
Published: (2025)

Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
by: Wang, Xiaoke, et al.
Published: (2025)

DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System
by: Leong, Hui Yi, et al.
Published: (2025)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

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

Distributed Autonomous Swarm Formation for Dynamic Network Bridging
by: Galliera, Raffaele, et al.
Published: (2024)

Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning
by: Choi, Myong-Yol, et al.
Published: (2026)

Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
by: Fosong, Elliot, et al.
Published: (2023)

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
by: Kontogiannis, Andreas, et al.
Published: (2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)

Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks
by: Kuroswiski, Andre R, et al.
Published: (2024)

Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
by: Bhambri, Siddhant, et al.
Published: (2023)

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
by: Behari, Nikhil, et al.
Published: (2024)

Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery
by: Wang, Xun, et al.
Published: (2025)

Fortytwo: Swarm Inference with Peer-Ranked Consensus
by: Larin, Vladyslav, et al.
Published: (2025)

The Yokai Learning Environment: Tracking Beliefs Over Space and Time
by: Ruhdorfer, Constantin, et al.
Published: (2025)

Episodic Memory in Agentic Frameworks: Suggesting Next Tasks
by: Fiorini, Sandro Rama, et al.
Published: (2025)

Talk Freely, Execute Strictly: Schema-Gated Agentic AI for Flexible and Reproducible Scientific Workflows
by: Strickland, Joel, et al.
Published: (2026)

In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)

Learning to Steer Markovian Agents under Model Uncertainty
by: Huang, Jiawei, et al.
Published: (2024)

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
by: Biswas, Arpita, et al.
Published: (2023)

Turn-based Multi-Agent Reinforcement Learning Model Checking
by: Gross, Dennis
Published: (2025)

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
by: Wang, Xihuai, et al.
Published: (2022)

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)

Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision Making
by: Tuladhar, Anup, et al.
Published: (2025)

Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
by: Mukherjee, Sayak, et al.
Published: (2025)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning
by: Jayawardana, Vindula, et al.
Published: (2024)

The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design
by: Ruhdorfer, Constantin, et al.
Published: (2024)

Learning the Preferences of a Learning Agent
by: Sadek, Karim Abdel, et al.
Published: (2026)

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)

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

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)