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

106 papers, page 2 of 3

51. CVPR 2023MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
52. CVPR 2023MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking
53. CVPR 2023MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
54. CVPR 2023MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection
55. CVPR 2023Multi Domain Learning for Motion Magnification
56. CVPR 2023Multi-Agent Automated Machine Learning
57. CVPR 2023Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
58. CVPR 2023Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
59. CVPR 2023Multi-Level Logit Distillation
60. CVPR 2023Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion
61. CVPR 2023Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
62. CVPR 2023Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
63. CVPR 2023Multi-Realism Image Compression With a Conditional Generator
64. CVPR 2023Multi-Space Neural Radiance Fields
65. CVPR 2023Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
66. CVPR 2023Multi-View Stereo Representation Revist: Region-Aware MVSNet
67. CVPR 2023Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
68. CVPR 2023NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
69. CVPR 2023NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images
70. CVPR 2023NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images
71. CVPR 2023Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
72. CVPR 2023NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies
73. CVPR 2023Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
74. CVPR 2023OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images
75. CVPR 2023OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images
76. CVPR 2023On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering
77. CVPR 2023PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices
78. CVPR 2023POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo
79. CVPR 2023ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals
80. CVPR 2023PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers
81. CVPR 2023Quantum Multi-Model Fitting
82. CVPR 2023Relightable Neural Human Assets From Multi-View Gradient Illuminations
83. CVPR 2023ResFormer: Scaling ViTs With Multi-Resolution Training
84. CVPR 2023RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
85. CVPR 2023Sample-Level Multi-View Graph Clustering
86. CVPR 2023ScaleDet: A Scalable Multi-Dataset Object Detector
87. CVPR 2023Simple Cues Lead to a Strong Multi-Object Tracker
88. CVPR 2023Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
89. CVPR 2023StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments
90. CVPR 2023Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
91. CVPR 2023StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
92. CVPR 2023Texts as Images in Prompt Tuning for Multi-Label Image Recognition
93. CVPR 2023Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
94. CVPR 2023Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
95. CVPR 2023Towards Flexible Multi-Modal Document Models
96. CVPR 2023Tunable Convolutions With Parametric Multi-Loss Optimization
97. CVPR 2023Two-Way Multi-Label Loss
98. CVPR 2023Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
99. CVPR 2023Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models
100. CVPR 2023Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior

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.