AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

57 papers

PreprintNeural Information Processing Systems2025

Improving RAG through Multi-Agent RL

Yiqun Chen, Ling Yan, Weiwei Sun, et al.

MMOA-RAG uses multi-agent reinforcement learning to jointly optimize all components of a RAG pipeline toward a unified reward, improving QA performance.

46Jan 25, 2025Large Language ModelsFine Tuning

arXiv

PreprintarXiv.org2025

ColorAgent

Ning Li, Qiqiang Lin, Zheng Wu, et al.

ColorAgent is an OS agent that uses step-wise reinforcement learning and a multi-agent framework to achieve state-of-the-art success rates on AndroidWorld and AndroidLab benchmarks.

4Oct 22, 2025Large Language ModelsReinforcement Learning

arXiv

Preprint2016

Learning to communicate with deep multi-agent reinforcement learning

Unknown

This paper introduces a deep multi-agent reinforcement learning framework where agents learn to communicate and cooperate to maximize shared utility.

0Jan 1, 2016Reinforcement Learning

Preprint2025

A review of multi-agent reinforcement learning algorithms

Unknown

This paper provides a comprehensive review of multi-agent reinforcement learning algorithms, covering challenges, applications, and emerging trends.

0Jan 1, 2025Reinforcement Learning

Preprint2012

Game theory and multi-agent reinforcement learning

Unknown

This paper describes policy iteration for multi-agent reinforcement learning, focusing on an algorithm called Interconnected Learning Automata for Markov Games (MG-ILA).

0Jan 1, 2012Reinforcement Learning

Preprint1994

Markov games as a framework for multi-agent reinforcement learning

Unknown

This paper introduces Markov games as a formal framework for multi-agent reinforcement learning, extending MDPs to settings with multiple adaptive agents.

0Jan 1, 1994Reinforcement Learning

Preprint2024

A survey on multi-agent reinforcement learning and its application

Unknown

A comprehensive survey of multi-agent reinforcement learning, tracing its historical evolution and reviewing its applications across various domains.

0Jan 1, 2024Reinforcement Learning

Preprint2024

Multi-agent reinforcement learning: Foundations and modern approaches

Unknown

This book part establishes foundational concepts and modern approaches for multi-agent reinforcement learning, defining the learning problem and building upon prior work.

0Jan 1, 2024Reinforcement Learning

Preprint1993

Multi-agent reinforcement learning: Independent vs. cooperative agents

Unknown

This paper presents three case studies of multiagent reinforcement learning, comparing independent and cooperative agents and raising key issues for the field.

0Jan 1, 1993Reinforcement Learning

Preprint2021

Multi-agent reinforcement learning: A review of challenges and applications

Unknown

A survey introducing multi-agent reinforcement learning, covering challenges and applications.

0Jan 1, 2021Reinforcement Learning

Preprint2021

Multi-agent reinforcement learning: A selective overview of theories and algorithms

K. Zhang, Zhuoran Yang, T. Başar

This paper provides a selective overview of multi-agent reinforcement learning, covering theories and algorithms for cooperative, competitive, and mixed settings.

1.7kJan 1, 2021Reinforcement Learning

arXiv

Preprint2010

Multi-agent reinforcement learning: An overview

Unknown

This chapter reviews representative multi-agent reinforcement learning algorithms for cooperative, competitive, and general settings.

0Jan 1, 2010Reinforcement Learning