Cover Image

Select to Perfect: Imitating desired behavior from large multi-agent data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Franzmeyer, Tim, Elkind, Edith, Torr, Philip, Foerster, Jakob, Henriques, Joao
Format:	Preprint
Published:	2024
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

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

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

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

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

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

Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
by: Molinghen, Yannick, et al.
Published: (2024)

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
by: Rose, Aaron, et al.
Published: (2026)

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

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024)

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

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
by: Seo, Sangwon, et al.
Published: (2025)

Large Language Models Miss the Multi-Agent Mark
by: La Malfa, Emanuele, et al.
Published: (2025)

Single-agent or Multi-agent Systems? Why Not Both?
by: Gao, Mingyan, et al.
Published: (2025)

MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
by: Bui, The Viet, et al.
Published: (2025)

A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility
by: Poddar, Prithvi, et al.
Published: (2024)

Control Charts for Multi-agent Systems
by: Helm, Hayden, et al.
Published: (2026)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
by: Rutherford, Alexander, et al.
Published: (2023)

Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)

Multi-agent Reinforcement Learning: A Comprehensive Survey
by: Huh, Dom, et al.
Published: (2023)

Multi-agent Auto-Bidding with Latent Graph Diffusion Models
by: Huh, Dom, et al.
Published: (2025)

Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2024)

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

Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
by: Arasteh, Fazel, et al.
Published: (2025)

Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2025)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
by: Jha, Kunal, et al.
Published: (2025)

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

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

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
by: Li, Xinran, et al.
Published: (2025)

Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
by: Wu, Wenyi, et al.
Published: (2026)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
by: Jiang, He, et al.
Published: (2024)

SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
by: Ye, Hancheng, et al.
Published: (2025)

M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
by: Wang, Ziyan, et al.
Published: (2025)

Analysing the Sample Complexity of Opponent Shaping
by: Fung, Kitty, et al.
Published: (2024)

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs
by: Xie, Yuzhang, et al.
Published: (2025)

CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
by: Minelli, Giovanni, et al.
Published: (2023)