Cover Image

Language-Driven Coordination and Learning in Multi-Agent Simulation Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zhengyang, Campos, Sawyer, Wang, Nana
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

A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
by: Wang, Yunzhe, et al.
Published: (2025)

Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)

Norm-Governed Multi-Agent Decision-Making in Simulator-Coupled Environments:The Reinsurance Constrained Multi-Agent Simulation Process (R-CMASP)
by: Dong, Stella C.
Published: (2025)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)

Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
by: Atif, Muhammad Ahmed, et al.
Published: (2026)

Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)

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

MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)

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

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
by: Nathani, Deepak, et al.
Published: (2026)

Scaling Multi-Agent Environment Co-Design with Diffusion Models
by: Li, Hao Xiang, et al.
Published: (2025)

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

Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution
by: Bai, Yidong, et al.
Published: (2024)

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)

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

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

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

Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications
by: Algazinov, Aleksandr, et al.
Published: (2025)

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

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

PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)

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

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)

Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
by: Kailas, Siva, et al.
Published: (2025)

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)

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

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)

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

QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
by: Li, Yuanjun, et al.
Published: (2026)

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

Compositional Coordination for Multi-Robot Teams with Large Language Models
by: Huang, Zhehui, et al.
Published: (2025)