LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

17 May 2024

Papers citing "LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions"

7 / 7 papers shown

Title
MARCO: A Multi-Agent System for Optimizing HPC Code Generation Using Large Language Models Asif Rahman Veljko Cvetkovic Kathleen Reece Aidan Walters Yasir Hassan Aneesh Tummeti Bryan Torres Denise Cooney Margaret Ellis Dimitrios S. Nikolopoulos LLMAG 31 0 0 06 May 2025
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation Toby Godfrey William Hunt Mohammad D. Soorati 33 1 0 18 Oct 2024
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments Jen-tse Huang E. Li Man Ho Lam Tian Liang Wenxuan Wang Youliang Yuan Wenxiang Jiao Xing Wang Zhaopeng Tu Michael R. Lyu ELM LLMAG 74 32 0 18 Mar 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding Yi Xin Junlong Du Qiang Wang Zhiwen Lin Ke Yan VPVLM 62 47 0 14 Dec 2023
Generative Agents: Interactive Simulacra of Human Behavior J. Park Joseph C. O'Brien Carrie J. Cai Meredith Ringel Morris Percy Liang Michael S. Bernstein LM&Ro AI4CE 204 1,701 0 07 Apr 2023
Learning by Distilling Context Charles Burton Snell Dan Klein Ruiqi Zhong ReLM LRM 148 35 0 30 Sep 2022
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig Tianmin Shu Shuang Li Zilin Wang Yuan-Hong Liao J. Tenenbaum Sanja Fidler Antonio Torralba LM&Ro 91 94 0 19 Oct 2020