LLM-based Multi-Agent Systems: Techniques and Business Perspectives

A Value for n-Person Games

Lloyd Shapley. 1953 · 1953

Earlier work this paper cites.

Efficient training of artificial neural networks for autonomous navigation

Dean A Pomerleau. 1991 · 1991

Earlier work this paper cites.

Multi-agent reinforcement learning: Independent vs. cooperative agents. In Proceedings of the tenth international conference on machine learning . 330–337

Ming Tan. 1993 · 1993

Earlier work this paper cites.

Language Models are Few-Shot Learners

Original

Tom B. Brown, Benjamin Mann, Nick Ryder, et al · 2005

Earlier work this paper cites.

Differential privacy. In International colloquium on automata, languages, and programming . Springer, 1–12

Cynthia Dwork. 2006 · 2006

Earlier work this paper cites.

A comprehensive survey of multiagent reinforcement learning

Lucian Busoniu, Robert Babuska, and Bart De Schutter. 2008 · 2008

Earlier work this paper cites.

Multiagent systems: Algorithmic, game-theoretic, and logical foundations

Yoav Shoham and Kevin Leyton-Brown. 2009 · 2009

Earlier work this paper cites.

An Introduction to MultiAgent Systems

Michael Wooldridge. 2009 · 2009

Earlier work this paper cites.

Multiagent systems: algorithmic, game-theoretic, and logical foundations by Y. Shoham and K. Leyton-Brown Cambridge University Press, 2008

Haris Aziz. 2010 · 2010

Earlier work this paper cites.

The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

E. Brynjolfsson and A. McAfee. 2014 · 2014

Earlier work this paper cites.

Intel SGX explained

Victor Costan. 2016 · 2016

Earlier work this paper cites.

Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy. In International conference on machine learning . PMLR, 201–210

Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing. 2016 · 2016

Earlier work this paper cites.

Creating Enduring Customer Value

V. Kumar and W. Reinartz. 2016 · 2016

Earlier work this paper cites.

Learning multiagent communication with backpropagation

Sainbayar Sukhbaatar, Rob Fergus, et al · 2016

Earlier work this paper cites.

Fast private set intersection from homomorphic encryption. In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security . 1243–1255

Hao Chen, Kim Laine, and Peter Rindal. 2017 · 2017

Earlier work this paper cites.

Homomorphic encryption for arithmetic of approximate numbers. In Advances in Cryptology–ASIACRYPT 2017: 23rd International Conference on the Theory and Applications of Cryptology and Information Security, Hong Kong, China, December 3-7, 2017, Proceedings, Part I 23 . Springer, 409–437

Jung Hee Cheon, Andrey Kim, Miran Kim, and Yongsoo Song. 2017 · 2017

Earlier work this paper cites.

Digital Advertising: A Review and Future Research Directions

P. K. Kannan and H. Li. 2017 · 2017

Earlier work this paper cites.

Multi-agent actor-critic for mixed cooperative-competitive environments

Ryan Lowe, Yi I Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch. 2017 · 2017

Earlier work this paper cites.

PrivPy: General and scalable privacy-preserving data mining. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 1299–1307

Yi Li and Wei Xu. 2019 · 2019

Earlier work this paper cites.

Demystifying arm trustzone: A comprehensive survey

Sandro Pinto and Nuno Santos. 2019 · 2019

Earlier work this paper cites.

A regularized opponent model with maximum entropy objective. In Proceedings of the 28th International Joint Conference on Artificial Intelligence . 602–608

Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, and Jun Wang. 2019 · 2019

Earlier work this paper cites.

Big data monetization throughout Big Data Value Chain: a comprehensive review

Abou Zakaria Faroukhi, Imane El Alaoui, Youssef Gahi, and Aouatif Amine. 2020 · 2020

Earlier work this paper cites.

Secure multiparty computation

Yehuda Lindell. 2020 · 2020

Earlier work this paper cites.

Monotonic value function factorisation for deep multi-agent reinforcement learning

Tabish Rashid, Mikayel Samvelyan, Christian Schroeder De Witt, Gregory Farquhar, Jakob Foerster, and Shimon Whiteson. 2020 · 2020

Earlier work this paper cites.

Strengthening VM isolation with integrity protection and more

AMD Sev-Snp. 2020 · 2020

Earlier work this paper cites.

Crypten: Secure multi-party computation meets machine learning

Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, and Laurens van der Maaten. 2021 · 2021

Cited alongside, same era.

Learning Transferable Visual Models From Natural Language Supervision

Original

Alec Radford, Jong Wook Kim, Chris Hallacy, et al · 2021

Cited alongside, same era.

How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops

David Sjödin, Vinit Parida, Maximilian Palmié, and Joakim Wincent. 2021 · 2021

Cited alongside, same era.

Consensus in multi-agent systems: a review

Abdollah Amirkhani and Amir Hossein Barshooi. 2022 · 2022

Cited alongside, same era.

Multi-agent reinforcement learning is a sequence modeling problem

Muning Wen, Jakub Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, and Yaodong Yang. 2022 · 2022

Cited alongside, same era.

AutoML - Google Cloud

Google Cloud. 2024 · 2024

Closest in time.

Hugging Face Model Hub

Hugging Face. 2024 · 2024

Closest in time.

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Original

Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang, Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, and Saleema Amershi. 2024 · 2024

Closest in time.

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making

Original

Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, and Bowen Zhou. 2024 · 2024

Closest in time.

AgentScope: A Flexible yet Robust Multi-Agent Platform

Original

Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie, Daoyuan Chen, Liuyi Yao, Hongyi Peng, Zeyu Zhang, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, and Jingren Zhou. 2024 · 2024