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

2,126 papers, page 28 of 43

1351. NeurIPS 2025Multi-Token Prediction Needs Registers
1352. NeurIPS 2025Multi-View Oriented GPLVM: Expressiveness and Efficiency
1353. NeurIPS 2025Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
1354. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
1355. NeurIPS 2025MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
1356. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
1357. NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
1358. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
1359. NeurIPS 2025On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
1360. NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
1361. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
1362. NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
1363. NeurIPS 2025OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
1364. NeurIPS 2025Opinion Maximization in Social Networks by Modifying Internal Opinions
1365. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
1366. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
1367. NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
1368. NeurIPS 2025OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
1369. NeurIPS 2025Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
1370. NeurIPS 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
1371. NeurIPS 2025OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
1372. NeurIPS 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
1373. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
1374. NeurIPS 2025Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
1375. NeurIPS 2025PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
1376. NeurIPS 2025Planning with Quantized Opponent Models
1377. NeurIPS 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
1378. NeurIPS 2025Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
1379. NeurIPS 2025Probably Approximately Precision and Recall Learning
1380. NeurIPS 2025Protocols for Verifying Smooth Strategies in Bandits and Games
1381. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
1382. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
1383. NeurIPS 2025R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
1384. NeurIPS 2025Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
1385. NeurIPS 2025Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
1386. NeurIPS 2025Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
1387. NeurIPS 2025Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
1388. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
1389. NeurIPS 2025Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
1390. NeurIPS 2025ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
1391. NeurIPS 2025Retro-R1: LLM-based Agentic Retrosynthesis
1392. NeurIPS 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
1393. NeurIPS 2025Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
1394. NeurIPS 2025Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control
1395. NeurIPS 2025Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
1396. NeurIPS 2025SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
1397. NeurIPS 2025SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
1398. NeurIPS 2025Sample-Adaptivity Tradeoff in On-Demand Sampling
1399. NeurIPS 2025Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
1400. NeurIPS 2025Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion

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.