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 43 of 43

2101. NeurIPS 2023NetHack is Hard to Hack
2102. NeurIPS 2023Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
2103. NeurIPS 2023OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
2104. NeurIPS 2023Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
2105. NeurIPS 2023OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
2106. NeurIPS 2023Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
2107. NeurIPS 2023Policy Space Diversity for Non-Transitive Games
2108. NeurIPS 2023Provably (More) Sample-Efficient Offline RL with Options
2109. NeurIPS 2023Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
2110. NeurIPS 2023Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
2111. NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
2112. NeurIPS 2023RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
2113. NeurIPS 2023Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
2114. NeurIPS 2023Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
2115. NeurIPS 2023Scalable 3D Captioning with Pretrained Models
2116. NeurIPS 2023Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
2117. NeurIPS 2023Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
2118. NeurIPS 2023SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
2119. NeurIPS 2023Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
2120. NeurIPS 2023Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
2121. NeurIPS 2023SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
2122. NeurIPS 2023The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
2123. NeurIPS 2023Tracking Most Significant Shifts in Nonparametric Contextual Bandits
2124. NeurIPS 2023Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning
2125. NeurIPS 2023Uncovering motifs of concurrent signaling across multiple neuronal populations
2126. NeurIPS 2023Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL

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.