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

255 papers, page 2 of 6

51. NeurIPS 2025Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
52. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
53. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
54. NeurIPS 2025Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
55. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
56. NeurIPS 2025Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
57. NeurIPS 2025Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
58. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
59. NeurIPS 2025Evaluating LLMs in Open-Source Games
60. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
61. NeurIPS 2025Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
62. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
63. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
64. NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
65. NeurIPS 2025FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
66. NeurIPS 2025Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
67. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
68. NeurIPS 2025Federated Multi-armed Bandits with Efficient Bit-Level Communications
69. NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
70. NeurIPS 2025From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
71. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
72. NeurIPS 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
73. NeurIPS 2025GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
74. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
75. NeurIPS 2025Gemstones: A Model Suite for Multi-Faceted Scaling Laws
76. NeurIPS 2025Generalizing Experience for Language Agents with Hierarchical MetaFlows
77. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
78. NeurIPS 2025Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
79. NeurIPS 2025GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
80. NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework
81. NeurIPS 2025Gradient Multi-Normalization for Efficient LLM Training
82. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
83. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
84. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
85. NeurIPS 2025Group-in-Group Policy Optimization for LLM Agent Training
86. NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
87. NeurIPS 2025GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
88. NeurIPS 2025GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning
89. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
90. NeurIPS 2025High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
91. NeurIPS 2025HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
92. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
93. NeurIPS 2025HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
94. NeurIPS 2025How to Train Your LLM Web Agent: A Statistical Diagnosis
95. NeurIPS 2025HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
96. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
97. NeurIPS 2025HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
98. NeurIPS 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
99. NeurIPS 2025HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
100. NeurIPS 2025Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings

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.