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 4 of 6

151. NeurIPS 2025Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
152. NeurIPS 2025Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game
153. NeurIPS 2025Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration
154. NeurIPS 2025Multi-agent Markov Entanglement
155. NeurIPS 2025Multi-Agent Reinforcement Learning with Communication-Constrained Priors
156. NeurIPS 2025Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
157. NeurIPS 2025Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
158. NeurIPS 2025Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
159. NeurIPS 2025Multi-Objective One-Shot Pruning for Large Language Models
160. NeurIPS 2025Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
161. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
162. NeurIPS 2025Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
163. NeurIPS 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
164. NeurIPS 2025Multi-Token Prediction Needs Registers
165. NeurIPS 2025Multi-View Oriented GPLVM: Expressiveness and Efficiency
166. NeurIPS 2025Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
167. NeurIPS 2025MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
168. NeurIPS 2025MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
169. NeurIPS 2025MVSMamba: Multi-View Stereo with State Space Model
170. NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
171. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
172. NeurIPS 2025On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
173. NeurIPS 2025On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
174. NeurIPS 2025On the sample complexity of semi-supervised multi-objective learning
175. NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
176. NeurIPS 2025OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
177. NeurIPS 2025Opinion Maximization in Social Networks by Modifying Internal Opinions
178. NeurIPS 2025Optimal Estimation of the Best Mean in Multi-Armed Bandits
179. NeurIPS 2025Optimal Spectral Transitions in High-Dimensional Multi-Index Models
180. NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
181. NeurIPS 2025OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
182. NeurIPS 2025Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
183. NeurIPS 2025OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
184. NeurIPS 2025OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
185. NeurIPS 2025PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
186. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
187. NeurIPS 2025Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
188. NeurIPS 2025PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
189. NeurIPS 2025Planning with Quantized Opponent Models
190. NeurIPS 2025PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
191. NeurIPS 2025Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
192. NeurIPS 2025Probably Approximately Precision and Recall Learning
193. NeurIPS 2025Protocols for Verifying Smooth Strategies in Bandits and Games
194. NeurIPS 2025Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
195. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
196. NeurIPS 2025R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
197. NeurIPS 2025Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
198. NeurIPS 2025Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
199. NeurIPS 2025Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
200. NeurIPS 2025Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning

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.