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

255 papers, page 1 of 6

1. NeurIPS 2025$i$MIND: Insightful Multi-subject Invariant Neural Decoding
2. NeurIPS 20253DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
3. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
4. NeurIPS 2025A machine learning approach that beats Rubik's cubes
5. NeurIPS 2025A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
6. NeurIPS 2025A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
7. NeurIPS 2025Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
8. NeurIPS 2025Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
9. NeurIPS 2025Aeolus: A Multi-structural Flight Delay Dataset
10. NeurIPS 2025AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
11. NeurIPS 2025AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
12. NeurIPS 2025AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
13. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
14. NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
15. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
16. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
17. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
18. NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
19. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
20. NeurIPS 2025Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
21. NeurIPS 2025Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
22. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
23. NeurIPS 2025Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
24. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
25. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
26. NeurIPS 2025Can Agent Fix Agent Issues?
27. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
28. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
29. NeurIPS 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
30. NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
31. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
32. NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
33. NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
34. NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
35. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
36. NeurIPS 2025Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
37. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
38. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
39. NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
40. NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
41. NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
42. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
43. NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
44. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
45. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
46. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
47. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
48. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
49. NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
50. NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

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.