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

574 papers, page 8 of 12

351. NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
352. NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
353. NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
354. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
355. NeurIPS 2025Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
356. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
357. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
358. NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
359. NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
360. NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
361. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
362. NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
363. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
364. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
365. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
366. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
367. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
368. NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
369. NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
370. NeurIPS 2025Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
371. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
372. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
373. NeurIPS 2025Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
374. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
375. NeurIPS 2025Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
376. NeurIPS 2025Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
377. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
378. NeurIPS 2025Evaluating LLMs in Open-Source Games
379. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
380. NeurIPS 2025Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
381. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
382. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
383. NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
384. NeurIPS 2025FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
385. NeurIPS 2025Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
386. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
387. NeurIPS 2025Federated Multi-armed Bandits with Efficient Bit-Level Communications
388. NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
389. NeurIPS 2025From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
390. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
391. NeurIPS 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
392. NeurIPS 2025GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
393. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
394. NeurIPS 2025Gemstones: A Model Suite for Multi-Faceted Scaling Laws
395. NeurIPS 2025Generalizing Experience for Language Agents with Hierarchical MetaFlows
396. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
397. NeurIPS 2025Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
398. NeurIPS 2025GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
399. NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework
400. NeurIPS 2025Gradient Multi-Normalization for Efficient LLM Training

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.