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 10 of 12

451. NeurIPS 2025MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
452. NeurIPS 2025MAT-Agent: Adaptive Multi-Agent Training Optimization
453. NeurIPS 2025MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference
454. NeurIPS 2025MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
455. NeurIPS 2025Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
456. NeurIPS 2025MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
457. NeurIPS 2025MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
458. NeurIPS 2025MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
459. NeurIPS 2025MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations
460. NeurIPS 2025MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
461. NeurIPS 2025mmWalk: Towards Multi-modal Multi-view Walking Assistance
462. NeurIPS 2025MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
463. NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
464. NeurIPS 2025MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
465. NeurIPS 2025MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
466. NeurIPS 2025MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
467. NeurIPS 2025MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild
468. NeurIPS 2025Multi-Agent Collaboration via Evolving Orchestration
469. NeurIPS 2025Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
470. NeurIPS 2025Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
471. NeurIPS 2025Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game
472. NeurIPS 2025Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
473. NeurIPS 2025Multi-agent Markov Entanglement
474. NeurIPS 2025Multi-Agent Reinforcement Learning with Communication-Constrained Priors
475. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
476. NeurIPS 2025Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
477. NeurIPS 2025Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
478. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
479. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
480. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
481. NeurIPS 2025Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
482. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
483. NeurIPS 2025Multi-Token Prediction Needs Registers
484. NeurIPS 2025Multi-View Oriented GPLVM: Expressiveness and Efficiency
485. NeurIPS 2025Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
486. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
487. NeurIPS 2025MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
488. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
489. NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
490. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
491. NeurIPS 2025On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
492. NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
493. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
494. NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
495. NeurIPS 2025OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
496. NeurIPS 2025Opinion Maximization in Social Networks by Modifying Internal Opinions
497. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
498. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
499. NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
500. NeurIPS 2025OrbitZoo: Real Orbital Systems Challenges for Reinforcement 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.