Multi-Agent RL papers, 2023–2026

Key findings

• Multi-Agent RL went from 311 papers in 2023 to 868 in 2026, roughly 2.8x in three years.
• NeurIPS publishes the most Multi-Agent RL work: 809 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 9 in 2023 to 70 in 2026.
• Among the 5 topics under Games and Planning, it ranks #1 by 2026 paper count; the fastest grower in the group, Classical Planning, is up 3.3x versus 2.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
• ICML 2026A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
• ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
• CVPR 2026A Sanity Check for Multi-In-Domain Face Forgery Detection in the
• NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
• ICML 2025A Classification View on Meta Learning Bandits
• ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
• CVPR 2025All-Day Multi-Camera Multi-Target Tracking
• NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
• ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
• ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
• CVPR 2024DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
• NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
• ICML 2023A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
• ICLR 2023An Additive Instance-Wise Approach to Multi-class Model Interpretation
• CVPR 2023A Light Touch Approach to Teaching Transformers Multi-View Geometry
• NeurIPS 2026A Black-Box Reduction from Regret to Multi-Level Coverage
• ICML 2026A Consensus Anchor-guided Hypergraph Framework for Incomplete Multi-view Clustering
• ICLR 2026Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering
• CVPR 2026Anti-Degradation Lifelong Multi-View Clustering

All Multi-Agent RL papers

153 papers, page 2 of 4

51. ICLR 2026FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents
52. ICLR 2026Flow-based Conformal Prediction for Multi-dimensional Time Series
53. ICLR 2026From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents
54. ICLR 2026From Medical Records to Diagnostic Dialogues: A Clinical-Grounded Approach and Dataset for Psychiatric Comorbidity
55. ICLR 2026From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
56. ICLR 2026From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
57. ICLR 2026Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
58. ICLR 2026Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
59. ICLR 2026GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space
60. ICLR 2026HAMLET: Hyperadaptive Agent-based Modeling for Live Embodied Theatrics
61. ICLR 2026Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents
62. ICLR 2026Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing
63. ICLR 2026Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
64. ICLR 2026Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
65. ICLR 2026ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
66. ICLR 2026Identifying and Evaluating Inactive Heads in Pretrained LLMs
67. ICLR 2026Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents
68. ICLR 2026InnoGym: Benchmarking the Innovation Potential of AI Agents
69. ICLR 2026Interactive Agents to Overcome Underspecificity in Software Engineering
70. ICLR 2026IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra
71. ICLR 2026JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
72. ICLR 2026Kimi-Dev: Agentless Training as Skill Prior for SWE-agents
73. ICLR 2026KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning
74. ICLR 2026KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
75. ICLR 2026Learning to Play Multi-Follower Bayesian Stackelberg Games
76. ICLR 2026Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
77. ICLR 2026LiveResearchBench: Benchmarking Single- and Multi-Agent Systems for Citation-Grounded Deep Research
78. ICLR 2026LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
79. ICLR 2026MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs
80. ICLR 2026MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
81. ICLR 2026MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning
82. ICLR 2026Matching multiple experts: on the exploitability of multi-agent imitation learning
83. ICLR 2026Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions
84. ICLR 2026Measuring Bias Amplification in Multi-Agent Systems with Large Language Models
85. ICLR 2026MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
86. ICLR 2026Meta-RL Induces Exploration in Language Agents
87. ICLR 2026MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
88. ICLR 2026MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
89. ICLR 2026MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline
90. ICLR 2026MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
91. ICLR 2026Multi-Action Self-Improvement For Neural Combinatorial Optimization
92. ICLR 2026Multi-Agent Debate with Memory Masking
93. ICLR 2026Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
94. ICLR 2026Multi-LLM Adaptive Conformal Inference for Reliable LLM Response
95. ICLR 2026Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet
96. ICLR 2026Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View Clustering
97. ICLR 2026Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis
98. ICLR 2026Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
99. ICLR 2026MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
100. ICLR 2026Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit

FAQ

How many Multi-Agent RL papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,126 in total: 311 in 2023, 373 in 2024, 574 in 2025, 868 in 2026.

How many Multi-Agent RL papers are at NeurIPS 2026?

NeurIPS 2026 has 319 Multi-Agent RL papers, versus 255 the year before.

How many Multi-Agent RL papers are at ICLR 2026?

ICLR 2026 has 153 Multi-Agent RL papers, versus 91 the year before.

How many Multi-Agent RL papers are at ICML 2026?

ICML 2026 has 224 Multi-Agent RL papers, versus 115 the year before.

How many Multi-Agent RL papers are at CVPR 2026?

CVPR 2026 has 172 Multi-Agent RL papers, versus 113 the year before.

Which conference publishes the most Multi-Agent RL papers?

NeurIPS, with 809 papers from 2023 to 2026.