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

809 papers, page 11 of 17

501. NeurIPS 2025Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
502. NeurIPS 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
503. NeurIPS 2025OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
504. NeurIPS 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
505. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
506. NeurIPS 2025Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
507. NeurIPS 2025PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
508. NeurIPS 2025Planning with Quantized Opponent Models
509. NeurIPS 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
510. NeurIPS 2025Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
511. NeurIPS 2025Probably Approximately Precision and Recall Learning
512. NeurIPS 2025Protocols for Verifying Smooth Strategies in Bandits and Games
513. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
514. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
515. NeurIPS 2025R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
516. NeurIPS 2025Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
517. NeurIPS 2025Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
518. NeurIPS 2025Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
519. NeurIPS 2025Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
520. NeurIPS 2025ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model
521. NeurIPS 2025Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
522. NeurIPS 2025ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
523. NeurIPS 2025Retro-R1: LLM-based Agentic Retrosynthesis
524. NeurIPS 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
525. NeurIPS 2025Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
526. NeurIPS 2025Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control
527. NeurIPS 2025Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
528. NeurIPS 2025SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
529. NeurIPS 2025SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
530. NeurIPS 2025Sample-Adaptivity Tradeoff in On-Demand Sampling
531. NeurIPS 2025Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
532. NeurIPS 2025Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
533. NeurIPS 2025Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
534. NeurIPS 2025scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
535. NeurIPS 2025SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
536. NeurIPS 2025Self-Challenging Language Model Agents
537. NeurIPS 2025Sequential Multi-Agent Dynamic Algorithm Configuration
538. NeurIPS 2025Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
539. NeurIPS 2025SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
540. NeurIPS 2025SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches
541. NeurIPS 2025Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
542. NeurIPS 2025SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions
543. NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
544. NeurIPS 2025SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking
545. NeurIPS 2025Stackelberg Learning with Outcome-based Payment
546. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
547. NeurIPS 2025STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
548. NeurIPS 2025Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
549. NeurIPS 2025STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
550. NeurIPS 2025SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly

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.