Cover Image

Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bornemann, Richard, Hamon, Gautier, Nisioti, Eleni, Moulin-Frier, Clément
Format:	Preprint
Published:	2023
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emergence of agriculture in an artificial society of reinforcement learning agents
by: Hamon, Gautier, et al.
Published: (2026)

Evolving Reservoirs for Meta Reinforcement Learning
by: Léger, Corentin, et al.
Published: (2023)

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

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)

Collective Innovation in Groups of Large Language Models
by: Nisioti, Eleni, et al.
Published: (2024)

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

Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
by: Chen, Nuo, et al.
Published: (2026)

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)

MediHive: A Decentralized Agent Collective for Medical Reasoning
by: Wang, Xiaoyang, et al.
Published: (2026)

Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning (Extended Version)
by: Nguyen, Nhat D. A., et al.
Published: (2026)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)

Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations
by: Chen, Jinkun, et al.
Published: (2025)

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
by: Yang, Wei, et al.
Published: (2025)

Hilbert-Augmented Reinforcement Learning for Scalable Multi-Robot Coverage and Exploration
by: Gurunathan, Tamil Selvan, et al.
Published: (2026)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
by: Yoshida, Naoto, et al.
Published: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
by: Jiang, Haobin, et al.
Published: (2024)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)

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)

Cultural evolution in populations of Large Language Models
by: Perez, Jérémy, et al.
Published: (2024)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)

The Free-Market Algorithm: Self-Organizing Optimization for Open-Ended Complex Systems
by: Jaraiz, Martin
Published: (2026)

ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
by: Alzu'bi, Salaheddin, et al.
Published: (2026)

Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
by: Dodwadmath, Akshay, et al.
Published: (2025)

When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings
by: Perez, Jérémy, et al.
Published: (2024)

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning
by: Dewey, Richard, et al.
Published: (2025)

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

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
by: Liu, Zeyang, et al.
Published: (2024)

Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate
by: Tong, Chenhao, et al.
Published: (2024)

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems
by: Dasgupta, Nayana, et al.
Published: (2023)

Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
by: May, Daniel, et al.
Published: (2024)

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
by: Lin, Jianbo, et al.
Published: (2026)

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
by: Zhang, Zhicheng, et al.
Published: (2024)

Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)

Game-Theoretic Multiagent Reinforcement Learning
by: Yang, Yaodong, et al.
Published: (2020)

TerraLingua: Emergence and Analysis of Open-endedness in LLM Ecologies
by: Paolo, Giuseppe, et al.
Published: (2026)