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

88 papers, page 1 of 2

1. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
2. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
3. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
4. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
5. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
6. NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
7. NeurIPS 2023An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
8. NeurIPS 2023An active learning framework for multi-group mean estimation
9. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
10. NeurIPS 2023Arbitrarily Scalable Environment Generators via Neural Cellular Automata
11. NeurIPS 2023Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
12. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
13. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
14. NeurIPS 2023Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
15. NeurIPS 2023Covariance-adaptive best arm identification
16. NeurIPS 2023Creating Multi-Level Skill Hierarchies in Reinforcement Learning
17. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
18. NeurIPS 2023Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
19. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
20. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
21. NeurIPS 2023DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
22. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
23. NeurIPS 2023Diverse Conventions for Human-AI Collaboration
24. NeurIPS 2023Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
25. NeurIPS 2023Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
26. NeurIPS 2023Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
27. NeurIPS 2023EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
28. NeurIPS 2023Exponential Lower Bounds for Fictitious Play in Potential Games
29. NeurIPS 2023Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms
30. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
31. NeurIPS 2023Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
32. NeurIPS 2023Finite-Time Logarithmic Bayes Regret Upper Bounds
33. NeurIPS 2023Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
34. NeurIPS 2023Generalized Information-theoretic Multi-view Clustering
35. NeurIPS 2023Generalized test utilities for long-tail performance in extreme multi-label classification
36. NeurIPS 2023GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
37. NeurIPS 2023Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
38. NeurIPS 2023Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability
39. NeurIPS 2023Hierarchical Multi-Agent Skill Discovery
40. NeurIPS 2023Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do
41. NeurIPS 2023History Filtering in Imperfect Information Games: Algorithms and Complexity
42. NeurIPS 2023How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception
43. NeurIPS 2023IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
44. NeurIPS 2023Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
45. NeurIPS 2023Information Design in Multi-Agent Reinforcement Learning
46. NeurIPS 2023Is Learning in Games Good for the Learners?
47. NeurIPS 2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
48. NeurIPS 2023Iteratively Learn Diverse Strategies with State Distance Information
49. NeurIPS 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
50. NeurIPS 2023Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations

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.