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Recent advancements in Large Language Model~(LLM)-based Multi-Agent Systems (MAS) have demonstrated remarkable potential for tackling complex decision-making tasks.
A Comprehensive Survey of Multiagent Reinforcement Learning
Lucian Busoniu, Robert Babuska, and Bart De Schutter. 2008 · 2008
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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, P. Abbeel, and Igor Mordatch. 2017 · 2017
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Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
Yaodong Yang and Jun Wang. 2021 · 2021
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MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, and Anima Anandkumar. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2023 · 2023
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Llama rider: Spurring large language models to explore the open world
Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, and Zongqing Lu. 2023 · 2023
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MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. In International Conference on Learning Representations
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zi Hen Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2023 · 2023
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Auto mc-reward: Automated dense reward design with large language models for minecraft
Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, and Jifeng Dai. 2023 · 2023
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Mcu: A task-centric framework for open-ended agent evaluation in minecraft
Haowei Lin, Zihao Wang, Jianzhu Ma, and Yitao Liang. 2023 · 2023
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Generative Agents: Interactive Simulacra of Human Behavior. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023 · 2023
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Mineflayer: Create Minecraft bots with a powerful, stable, and high level JavaScript API
PrismarineJS. 2023 · 2023
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Voyager: An open-ended embodied agent with large language models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar. 2023 · 2023
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Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, and Zongqing Lu. 2023 · 2023
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Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds. In International Conference on Learning Representations
Sipeng Zheng, Jiazheng Liu, Yicheng Feng, and Zongqing Lu. 2023 · 2023
Cited alongside, same era.
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, et al · 2023
Cited alongside, same era.
Project Sid: Many-agent simulations toward AI civilization
Altera. AL, Andrew Ahn, Nic Becker, Stephanie Carroll, Nico Christie, Manuel Cortes, Arda Demirci, Melissa Du, Frankie Li, Shuying Luo, Peter Y Wang, Mathew Willows, Feitong Yang, and Guangyu Robert Yang. 2024 · 2024
Cited alongside, same era.
ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting
Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, and Yitao Liang. 2024 · 2024
Cited alongside, same era.
Qwen, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tianyi Tang, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, and Zihan Qiu. 2024 · 2024
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OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. In Advances in Neural Information Processing Systems
Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, and Yitao Liang. 2024 · 2024
Later among the works it cites.
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. In Findings of the Association for Computational Linguistics: ACL 2024
Dekun Wu, Haochen Shi, Zhiyuan Sun, and Bang Liu. 2024 · 2024
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OASIS: Open Agent Social Interaction Simulations with One Million Agents
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MARG: Multi-Agent Review Generation for Scientific Papers
Mike D’Arcy, Tom Hope, Larry Birnbaum, and Doug Downey. 2024 · 2024
Cited alongside, same era.
DeepSeek-V3 Technical Report
DeepSeek-AI. 2024 · 2024
Cited alongside, same era.
VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft. In Proceedings of the Annual Meeting of the Association for Computational Linguistics
Yubo Dong, Xukun Zhu, Zhengzhe Pan, Linchao Zhu, and Yi Yang. 2024 · 2024
Cited alongside, same era.
Abhimanyu Dubey, Abhinav Jauhri, et al · 2024
Cited alongside, same era.
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, and Xiangliang Zhang. 2024 · 2024
Cited alongside, same era.
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, SerNam Lim, and Hengshuang Zhao. 2024b · 2024
Cited alongside, same era.
Odyssey: Empowering Minecraft Agents with Open-World Skills
Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, and Mingli Song. 2024 · 2024
Cited alongside, same era.
Xinyi Mou, Xuanwen Ding, Qi He, Liang Wang, Jingcong Liang, Xinnong Zhang, Libo Sun, Jiayu Lin, Jie Zhou, Xuanjing Huang, and Zhongyu Wei. 2024 · 2024
Cited alongside, same era.
Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, and Jing Shao. 2024 · 2024
Later among the works it cites.
ADAM: An Embodied Causal Agent in Open-World Environments
Shu Yu and Chaochao Lu. 2024 · 2024
Later among the works it cites.
See and Think: Embodied Agent in Virtual Environment. In Proceedings of the European Conference on Computer Vision
Zhonghan Zhao, Wenhao Chai, Xuan Wang, Li Boyi, Shengyu Hao, Shidong Cao, Tian Ye, and Gaoang Wang. 2024 · 2024
Later among the works it cites.
MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control
Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, and Jing Shao. 2024 · 2024
Later among the works it cites.
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System. In Findings of the Association for Computational Linguistics
Weize Chen, Jiarui Yuan, Chen Qian, Cheng Yang, Zhiyuan Liu, and Maosong Sun. 2025 · 2025
Closest in time.
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI. 2025 · 2025
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Kimi k1. 5: Scaling reinforcement learning with llms
Team Kimi. 2025 · 2025
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Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts
Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Weili Guan, Dongmei Jiang, and Liqiang Nie. 2025 · 2025
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MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents
Ziming Wei, Bingqian Lin, Zijian Jiao, Yunshuang Nie, Liang Ma, Yuecheng Liu, Yuzheng Zhuang, and Xiaodan Liang. 2025 · 2025
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An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, et al · 2025
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MasRouter
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, and Yiyan Qi. 2025 · 2025
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