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

373 papers, page 5 of 8

201. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
202. ICML 2024PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
203. ICML 2024Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
204. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
205. ICML 2024Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
206. ICML 2024R2E: Turning any Github Repository into a Programming Agent Environment
207. ICML 2024Regression with Multi-Expert Deferral
208. ICML 2024Representation Surgery for Multi-Task Model Merging
209. ICML 2024Reward Shaping for Reinforcement Learning with An Assistant Reward Agent
210. ICML 2024Robust Multi-Task Learning with Excess Risks
211. ICML 2024Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
212. ICML 2024Sampling-based Multi-dimensional Recalibration
213. ICML 2024Scalable Safe Policy Improvement for Factored Multi-Agent MDPs
214. ICML 2024Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
215. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
216. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
217. ICML 2024SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
218. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
219. ICML 2024Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
220. ICML 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
221. ICML 2024Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
222. ICML 2024Towards Unified Multi-granularity Text Detection with Interactive Attention
223. ICML 2024Unbiased Multi-Label Learning from Crowdsourced Annotations
224. ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
225. ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
226. ICML 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
227. NeurIPS 20243D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
228. NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
229. NeurIPS 2024A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
230. NeurIPS 2024A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
231. NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
232. NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
233. NeurIPS 2024A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
234. NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
235. NeurIPS 2024AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
236. NeurIPS 2024Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
237. NeurIPS 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
238. NeurIPS 2024AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
239. NeurIPS 2024Aligning Individual and Collective Objectives in Multi-Agent Cooperation
240. NeurIPS 2024Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
241. NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
242. NeurIPS 2024Bandits with Abstention under Expert Advice
243. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
244. NeurIPS 2024BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
245. NeurIPS 2024BitDelta: Your Fine-Tune May Only Be Worth One Bit
246. NeurIPS 2024Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
247. NeurIPS 2024Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
248. NeurIPS 2024BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
249. NeurIPS 2024CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
250. NeurIPS 2024ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion 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.