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

2,126 papers, page 23 of 43

1101. ICML 2025Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
1102. ICML 2025Deep Fuzzy Multi-view Learning for Reliable Classification
1103. ICML 2025DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
1104. ICML 2025Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
1105. ICML 2025DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation
1106. ICML 2025DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
1107. ICML 2025EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
1108. ICML 2025Efficient Federated Incomplete Multi-View Clustering
1109. ICML 2025EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
1110. ICML 2025EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
1111. ICML 2025Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
1112. ICML 2025EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
1113. ICML 2025Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
1114. ICML 2025Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
1115. ICML 2025Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
1116. ICML 2025From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium
1117. ICML 2025From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
1118. ICML 2025Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
1119. ICML 2025G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
1120. ICML 2025GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning
1121. ICML 2025GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
1122. ICML 2025How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
1123. ICML 2025Hybrid Quantum-Classical Multi-Agent Pathfinding
1124. ICML 2025HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
1125. ICML 2025Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
1126. ICML 2025Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
1127. ICML 2025KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
1128. ICML 2025Learning from True-False Labels via Multi-modal Prompt Retrieving
1129. ICML 2025Learning Mean Field Control on Sparse Graphs
1130. ICML 2025Learning Progress Driven Multi-Agent Curriculum
1131. ICML 2025Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
1132. ICML 2025Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
1133. ICML 2025Learning to Steer Learners in Games
1134. ICML 2025Learning to Stop: Deep Learning for Mean Field Optimal Stopping
1135. ICML 2025Linear Contextual Bandits With Interference
1136. ICML 2025LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination
1137. ICML 2025M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
1138. ICML 2025MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
1139. ICML 2025MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
1140. ICML 2025MoH: Multi-Head Attention as Mixture-of-Head Attention
1141. ICML 2025MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
1142. ICML 2025Multi-agent Architecture Search via Agentic Supernet
1143. ICML 2025Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits
1144. ICML 2025Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding
1145. ICML 2025Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
1146. ICML 2025Multi-View Graph Clustering via Node-Guided Contrastive Encoding
1147. ICML 2025MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition
1148. ICML 2025Near Optimal Best Arm Identification for Clustered Bandits
1149. ICML 2025Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity
1150. ICML 2025O-MAPL: Offline Multi-agent Preference 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.