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

147 papers, page 1 of 3

1. NeurIPS 20243D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
2. NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
3. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
4. NeurIPS 2024A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
5. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
6. NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
7. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
8. NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
9. NeurIPS 2024AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
10. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
11. NeurIPS 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
12. NeurIPS 2024AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
13. NeurIPS 2024Aligning Individual and Collective Objectives in Multi-Agent Cooperation
14. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
15. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
16. NeurIPS 2024Bandits with Abstention under Expert Advice
17. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
18. NeurIPS 2024BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
19. NeurIPS 2024BitDelta: Your Fine-Tune May Only Be Worth One Bit
20. NeurIPS 2024Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
21. NeurIPS 2024Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
22. NeurIPS 2024BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
23. NeurIPS 2024CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
24. NeurIPS 2024ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
25. NeurIPS 2024Contracting with a Learning Agent
26. NeurIPS 2024ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
27. NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
28. NeurIPS 2024Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
29. NeurIPS 2024Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
30. NeurIPS 2024DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
31. NeurIPS 2024Derandomizing Multi-Distribution Learning
32. NeurIPS 2024Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
33. NeurIPS 2024Distributional Reinforcement Learning with Regularized Wasserstein Loss
34. NeurIPS 2024Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
35. NeurIPS 2024DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
36. NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
37. NeurIPS 2024Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games
38. NeurIPS 2024Efficient multi-prompt evaluation of LLMs
39. NeurIPS 2024Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
40. NeurIPS 2024Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
41. NeurIPS 2024Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
42. NeurIPS 2024Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
43. NeurIPS 2024Extending Multi-modal Contrastive Representations
44. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
45. NeurIPS 2024Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
46. NeurIPS 2024FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
47. NeurIPS 2024Fixed Confidence Best Arm Identification in the Bayesian Setting
48. NeurIPS 2024Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
49. NeurIPS 2024Global Rewards in Restless Multi-Armed Bandits
50. NeurIPS 2024Group-wise oracle-efficient algorithms for online multi-group learning

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.