Cover Image

LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parsaee, Ali, Talebirad, Yashar, Szepesvári, Csongor, Ohal, Vishwajeet, Redman, Eden
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward a Theory of Hierarchical Memory for Language Agents
by: Talebirad, Yashar, et al.
Published: (2026)

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

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
by: Chalumeau, Felix, et al.
Published: (2025)

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

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
by: Jiang, Yixing, et al.
Published: (2025)

Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025)

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

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
by: Hamon, Gautier, et al.
Published: (2024)

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

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
by: Verma, Shresth, et al.
Published: (2024)

From Grunts to Lexicons: Emergent Language from Cooperative Foraging
by: Piriyajitakonkij, Maytus, et al.
Published: (2025)

Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)

Disentangling Causal Importance from Emergent Structure in Multi-Expert Orchestration
by: Ghosh, Sudipto, et al.
Published: (2026)

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

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer
by: Mattson, Connor, et al.
Published: (2025)

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
by: Pisacane, Alexei, et al.
Published: (2024)

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence
by: Zhang, Yao, et al.
Published: (2025)

Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
by: Hua, Yun, et al.
Published: (2025)

Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization
by: Zhu, Ying, et al.
Published: (2025)

Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game
by: Mankarious, Saad
Published: (2026)

pAI/MSc: ML Theory Research with Humans on the Loop
by: Abdelmoneum, Mahmoud, et al.
Published: (2026)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)

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

Emotional Modulation in Swarm Decision Dynamics
by: Freire-Obregón, David
Published: (2026)

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
by: Wang, Ziyao, et al.
Published: (2025)

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

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
by: Zhang, Yuzhe, et al.
Published: (2026)

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

$\textit{Agents Under Siege}$: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
by: Khan, Rana Muhammad Shahroz, 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)

It's About Time: Temporal References in Emergent Communication
by: Lipinski, Olaf, et al.
Published: (2023)

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration
by: Qu, Zheyan, et al.
Published: (2025)

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

Adaptively Coordinating with Novel Partners via Learned Latent Strategies
by: Li, Benjamin, et al.
Published: (2025)

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems
by: Li, Keyu, et al.
Published: (2026)

SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent Swarms
by: Lee, Minah, et al.
Published: (2026)

Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions
by: Long, Weifan, et al.
Published: (2024)

Decentralized Collective World Model for Emergent Communication and Coordination
by: Nomura, Kentaro, et al.
Published: (2025)