Cover Image

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Guobin, Zhou, Rui, Ji, Wenkang, Zhao, Shiyu
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models
by: Ji, Wenkang, et al.
Published: (2025)

Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
by: Zhu, Guobin, et al.
Published: (2025)

Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)

Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
by: Dong, Shihao, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
by: Alon, Yoav, et al.
Published: (2020)

From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
by: Deng, Zhirui, et al.
Published: (2024)

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
by: Kang, Li, et al.
Published: (2025)

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
by: Liu, Qi, et al.
Published: (2025)

Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement Learning
by: Kim, Taewoo, et al.
Published: (2025)

Modular Reinforcement Learning For Cooperative Swarms
by: Shtossel, Erel, et al.
Published: (2026)

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
by: Lee, Kanghoon, et al.
Published: (2026)

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

Cooperative Reward Shaping for Multi-Agent Pathfinding
by: Song, Zhenyu, et al.
Published: (2024)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
by: Ji, Jiabao, et al.
Published: (2025)

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
by: Tian, Yongkai, et al.
Published: (2025)

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
by: Zhou, Zihan, et al.
Published: (2025)

Agent-Driven Autonomous Reinforcement Learning Research: Iterative Policy Improvement for Quadruped Locomotion
by: Khandelwal, Nimesh, et al.
Published: (2026)

Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
by: Han, Lei, et al.
Published: (2023)

General-Purpose Aerial Intelligent Agents Empowered by Large Language Models
by: Zhao, Ji, et al.
Published: (2025)

Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
by: Yang, Qin
Published: (2024)

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)

BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
by: Kalra, Geetansh, et al.
Published: (2024)

LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
by: Abe, Reo, et al.
Published: (2025)

Masked Generative Policy for Robotic Control
by: Zhuang, Lipeng, et al.
Published: (2025)

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning
by: Gao, Dechen, et al.
Published: (2025)

Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving
by: Valiente, Rodolfo, et al.
Published: (2022)

Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
by: Yao, Chenhao, et al.
Published: (2025)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
by: Cai, Shaofei, et al.
Published: (2025)

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving
by: Bai, Haojie, et al.
Published: (2026)

A Temporal Planning Framework for Multi-Agent Systems via LLM-Aided Knowledge Base Management
by: Saccon, Enrico, et al.
Published: (2025)

Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries
by: Guo, Zhanyu, et al.
Published: (2026)

A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
by: Cederle, Matteo, et al.
Published: (2024)

Constraint-Preserving Data Generation for Visuomotor Policy Learning
by: Lin, Kevin, et al.
Published: (2025)

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)

Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge
by: Zhao, Wenzheng, et al.
Published: (2025)

HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
by: Zhang, Hao, et al.
Published: (2026)

Accelerating Robotic Reinforcement Learning with Agent Guidance
by: Chen, Haojun, et al.
Published: (2026)

Multi-Agent Consensus Seeking via Large Language Models
by: Chen, Huaben, et al.
Published: (2023)