Cover Image

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Na, Hyungho, Moon, Il-chul
Format:	Preprint
Published:	2024
Subjects:	Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)

Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)

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

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)

Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)

Toward Goal-Oriented Communication in Multi-Agent Systems: An overview
by: Charalambous, Themistoklis, et al.
Published: (2025)

Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
by: Lee, Min Whoo, et al.
Published: (2025)

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)

Learning Nudges for Conditional Cooperation: A Multi-Agent Reinforcement Learning Model
by: Kulkarni, Shatayu, et al.
Published: (2024)

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Junkai, et al.
Published: (2024)

TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
by: Hu, Xiaoliang, et al.
Published: (2023)

MARPO: A Reflective Policy Optimization for Multi Agent Reinforcement Learning
by: Wu, Cuiling, et al.
Published: (2025)

Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
by: Shi, Zifeng, et al.
Published: (2025)

Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
by: Hu, Zican, et al.
Published: (2023)

LLM-based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces
by: Sashihara, Jun, et al.
Published: (2025)

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025)

JointPPO: Diving Deeper into the Effectiveness of PPO in Multi-Agent Reinforcement Learning
by: Liu, Chenxing, et al.
Published: (2024)

MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
by: Li, Zichong, et al.
Published: (2024)

YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2024)

Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
by: Wang, Xuefeng, et al.
Published: (2026)

HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
by: Liu, Chiqiang, et al.
Published: (2025)

Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
by: Wang, Jing, et al.
Published: (2025)

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning
by: Feng, Jinyuan, et al.
Published: (2025)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

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

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
by: Wu, Xiaoguang, et al.
Published: (2026)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
by: Xu, Yanggang, et al.
Published: (2025)

Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
by: Zhang, Yuyang, et al.
Published: (2026)

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2024)

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers
by: Zhang, Yuhang, et al.
Published: (2024)

From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models
by: Akin, Sureyya, et al.
Published: (2025)

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective
by: Sun, Chuxiong, et al.
Published: (2025)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
by: Lin, Muhan, et al.
Published: (2025)

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)