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

311 papers, page 4 of 7

151. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
152. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
153. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
154. ICML 2023Complementary Attention for Multi-Agent Reinforcement Learning
155. ICML 2023Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
156. ICML 2023Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
157. ICML 2023Cut your Losses with Squentropy
158. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
159. ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
160. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
161. ICML 2023DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
162. ICML 2023Efficient RL via Disentangled Environment and Agent Representations
163. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
164. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
165. ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
166. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
167. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
168. ICML 2023Hierarchies of Reward Machines
169. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
170. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
171. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
172. ICML 2023K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
173. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
174. ICML 2023Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
175. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
176. ICML 2023Learning to Optimize Differentiable Games
177. ICML 2023Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
178. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
179. ICML 2023MANSA: Learning Fast and Slow in Multi-Agent Systems
180. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
181. ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
182. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
183. ICML 2023Multi-Agent Best Arm Identification with Private Communications
184. ICML 2023Multi-Agent Learning from Learners
185. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
186. ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
187. ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
188. ICML 2023Multi-class Graph Clustering via Approximated Effective $p$-Resistance
189. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
190. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
191. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
192. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
193. ICML 2023Multi-Objective GFlowNets
194. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
195. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
196. ICML 2023N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
197. ICML 2023Network Effects in Performative Prediction Games
198. ICML 2023On the Generalization of Multi-modal Contrastive Learning
199. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
200. ICML 2023Online Learning in Stackelberg Games with an Omniscient Follower

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.