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 25 of 43

1201. NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
1202. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
1203. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
1204. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
1205. NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
1206. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
1207. NeurIPS 2025Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
1208. NeurIPS 2025Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
1209. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
1210. NeurIPS 2025Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
1211. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
1212. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
1213. NeurIPS 2025Can Agent Fix Agent Issues?
1214. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
1215. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
1216. NeurIPS 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
1217. NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
1218. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
1219. NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
1220. NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
1221. NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
1222. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
1223. NeurIPS 2025Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
1224. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
1225. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
1226. NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
1227. NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
1228. NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
1229. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
1230. NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
1231. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
1232. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
1233. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
1234. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
1235. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
1236. NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
1237. NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
1238. NeurIPS 2025Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
1239. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
1240. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
1241. NeurIPS 2025Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
1242. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
1243. NeurIPS 2025Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
1244. NeurIPS 2025Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
1245. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
1246. NeurIPS 2025Evaluating LLMs in Open-Source Games
1247. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
1248. NeurIPS 2025Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
1249. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
1250. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task 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.