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

373 papers, page 3 of 8

101. CVPR 2024ViewFusion: Towards Multi-View Consistency via Interpolated Denoising
102. CVPR 2024Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
103. CVPR 2024VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources
104. CVPR 2024What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
105. CVPR 2024What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
106. ICLR 2024A Multi-Level Framework for Accelerating Training Transformer Models
107. ICLR 2024A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
108. ICLR 2024AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
109. ICLR 2024An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
110. ICLR 2024ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
111. ICLR 2024Augmenting Transformers with Recursively Composed Multi-grained Representations
112. ICLR 2024Building Cooperative Embodied Agents Modularly with Large Language Models
113. ICLR 2024ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
114. ICLR 2024CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
115. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
116. ICLR 2024Consistent Multi-Class Classification from Multiple Unlabeled Datasets
117. ICLR 2024Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
118. ICLR 2024Copula Conformal prediction for multi-step time series prediction
119. ICLR 2024Dual-Encoders for Extreme Multi-label Classification
120. ICLR 2024Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
121. ICLR 2024Evaluating Language Model Agency Through Negotiations
122. ICLR 2024FedWon: Triumphing Multi-domain Federated Learning Without Normalization
123. ICLR 2024Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
124. ICLR 2024Learning Multi-Faceted Prototypical User Interests
125. ICLR 2024Learning to Jointly Understand Visual and Tactile Signals
126. ICLR 2024MaGIC: Multi-modality Guided Image Completion
127. ICLR 2024Memorization Capacity of Multi-Head Attention in Transformers
128. ICLR 2024MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
129. ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
130. ICLR 2024MogaNet: Multi-order Gated Aggregation Network
131. ICLR 2024Multi-granularity Correspondence Learning from Long-term Noisy Videos
132. ICLR 2024Multi-View Representation is What You Need for Point-Cloud Pre-Training
133. ICLR 2024MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
134. ICLR 2024Neural Neighborhood Search for Multi-agent Path Finding
135. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
136. ICLR 2024Poly-View Contrastive Learning
137. ICLR 2024Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
138. ICLR 2024Select to Perfect: Imitating desired behavior from large multi-agent data
139. ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
140. ICLR 2024Towards Robust Multi-Modal Reasoning via Model Selection
141. ICLR 2024UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
142. ICLR 2024Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
143. ICLR 2024Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
144. ICLR 2024Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
145. ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
146. ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
147. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
148. ICML 2024A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
149. ICML 2024A Multimodal Automated Interpretability Agent
150. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework

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.