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

319 papers, page 2 of 7

51. NeurIPS 2026CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations
52. NeurIPS 2026CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring
53. NeurIPS 2026Chain-of-Route: State-Aware LLM Routing for Multi-Turn Conversations
54. NeurIPS 2026CHAIN: Continual Heterogeneous Cooperation with Information Bottleneck for Multi-Agent Reinforcement Learning
55. NeurIPS 2026Claude Coke: Prevent Automated Crime by Agents
56. NeurIPS 2026Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage?
57. NeurIPS 2026CoffeeBench: A Benchmark for Long-Horizon Strategic Decision-Making in Multi-Agent Economies
58. NeurIPS 2026Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
59. NeurIPS 2026Compute-optimal data scaling for neural surrogates via multi-fidelity training
60. NeurIPS 2026Conditional Multi-Event Temporal Grounding in Long-Form Video
61. NeurIPS 2026Conformal Agent Error Attribution
62. NeurIPS 2026Constructive Neural Policies for the Quadratic Assignment Problem via Multi-Expert Imitation
63. NeurIPS 2026Control Charts for Multi-Agent Systems
64. NeurIPS 2026Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
65. NeurIPS 2026Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
66. NeurIPS 2026Coordination Connectivity: Shared Initialization Shapes the Joint-Policy Landscape in MARL
67. NeurIPS 2026Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning
68. NeurIPS 2026Counterfactual Distillation: Internalizing Reflective Experience into LLM Agent
69. NeurIPS 2026Coupling-Aware Reinforcement Learning for Co-Evolving Graph Games
70. NeurIPS 2026Curvature-Guided Parameter Initialization for Multi-Task Learning
71. NeurIPS 2026DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
72. NeurIPS 2026DDACOM: Dual-Decoupled Adaptive Communication for Multi-Agent Reinforcement Learning under Dynamic Networks
73. NeurIPS 2026DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
74. NeurIPS 2026Decentralized Multi-Goal Multi-Agent Pathfinding with Spatial Prior and Neighbor Intent Prediction
75. NeurIPS 2026Decentralized Q-Learning in Markov Potential Games
76. NeurIPS 2026Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics
77. NeurIPS 2026Deconstructing Multi-Task Active Learning: The Paradox of Gradient Conflict and Orthogonal Decomposition
78. NeurIPS 2026DeGlare: Self-Supervised Specular Removal for Industrial Metallic Surfaces via Multi-Illumination Priors
79. NeurIPS 2026Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
80. NeurIPS 2026Disentangling Homophilic and Heterophilic Patterns for Multi-Domain Graph Foundation Models
81. NeurIPS 2026DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers
82. NeurIPS 2026Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
83. NeurIPS 2026Drift-Resistant Navigation World Model with Anchored Epipolar Guidance
84. NeurIPS 2026ECG Dataset with Multi-Expert Annotations and Delineations
85. NeurIPS 2026Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
86. NeurIPS 2026Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
87. NeurIPS 2026EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
88. NeurIPS 2026Entropy Dynamics of Agent Reinforcement Learning
89. NeurIPS 2026Epistemic Social Learning: Latent Behavioral Structure under Endogenous Multi-Agent Interaction
90. NeurIPS 2026EVA: Evidence-seeking Visual Agent for Hallucination-Resistant Multimodal Reasoning
91. NeurIPS 2026Event based Multi-Velocity-Scale Imaging
92. NeurIPS 2026EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales
93. NeurIPS 2026EvoCodeBench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
94. NeurIPS 2026EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection
95. NeurIPS 2026EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
96. NeurIPS 2026Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent Coding
97. NeurIPS 2026Expanding LLM Agent Boundaries with Strategy-Guided Exploration
98. NeurIPS 2026FASD: Hardware Acceleration for Multi-AI-Agent Discussion
99. NeurIPS 2026Fed-AGA: An Anchor Graph Alignment Framework for Federated Unaligned Multi-view Clustering
100. NeurIPS 2026FELPS: Fair and Efficient Scheduling for Multi-LoRA Serving System

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.