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

82 papers, page 1 of 2

1. ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
2. ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
3. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
4. ICML 2024A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
5. ICML 2024A Multimodal Automated Interpretability Agent
6. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
7. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
8. ICML 2024An Embodied Generalist Agent in 3D World
9. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
10. ICML 2024ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
11. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
12. ICML 2024BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
13. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
14. ICML 2024Configurable Mirror Descent: Towards a Unification of Decision Making
15. ICML 2024Conformal prediction for multi-dimensional time series by ellipsoidal sets
16. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap
17. ICML 2024Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
18. ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
19. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
20. ICML 2024Detecting Influence Structures in Multi-Agent Reinforcement Learning
21. ICML 2024DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
22. ICML 2024EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
23. ICML 2024Federated Combinatorial Multi-Agent Multi-Armed Bandits
24. ICML 2024FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
25. ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
26. ICML 2024Generalization Analysis for Multi-Label Learning
27. ICML 2024GPT-4V(ision) is a Generalist Web Agent, if Grounded
28. ICML 2024HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
29. ICML 2024Impact of Decentralized Learning on Player Utilities in Stackelberg Games
30. ICML 2024Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
31. ICML 2024Improving Transformers with Dynamically Composable Multi-Head Attention
32. ICML 2024Incentivized Learning in Principal-Agent Bandit Games
33. ICML 2024Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
34. ICML 2024LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
35. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
36. ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
37. ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
38. ICML 2024Major-Minor Mean Field Multi-Agent Reinforcement Learning
39. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
40. ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
41. ICML 2024Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
42. ICML 2024Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
43. ICML 2024Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
44. ICML 2024Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
45. ICML 2024Multi-group Learning for Hierarchical Groups
46. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
47. ICML 2024Multi-Sender Persuasion: A Computational Perspective
48. ICML 2024Multi-Source Conformal Inference Under Distribution Shift
49. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
50. ICML 2024Multi-View Stochastic Block Models

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.