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

809 papers, page 15 of 17

701. NeurIPS 2024RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
702. NeurIPS 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
703. NeurIPS 2024Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
704. NeurIPS 2024Safe Exploitative Play with Untrusted Type Beliefs
705. NeurIPS 2024Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
706. NeurIPS 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
707. NeurIPS 2024Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
708. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
709. NeurIPS 2024SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction
710. NeurIPS 2024Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding
711. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
712. NeurIPS 2024TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
713. NeurIPS 2024The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
714. NeurIPS 2024Towards Neuron Attributions in Multi-Modal Large Language Models
715. NeurIPS 2024Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
716. NeurIPS 2024Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
717. NeurIPS 2024Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
718. NeurIPS 2024Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
719. NeurIPS 2024WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
720. NeurIPS 2024WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
721. NeurIPS 2024ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
722. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
723. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
724. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
725. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
726. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
727. NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
728. NeurIPS 2023An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
729. NeurIPS 2023An active learning framework for multi-group mean estimation
730. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
731. NeurIPS 2023Arbitrarily Scalable Environment Generators via Neural Cellular Automata
732. NeurIPS 2023Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
733. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
734. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
735. NeurIPS 2023Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
736. NeurIPS 2023Covariance-adaptive best arm identification
737. NeurIPS 2023Creating Multi-Level Skill Hierarchies in Reinforcement Learning
738. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
739. NeurIPS 2023Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
740. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
741. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
742. NeurIPS 2023DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
743. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
744. NeurIPS 2023Diverse Conventions for Human-AI Collaboration
745. NeurIPS 2023Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
746. NeurIPS 2023Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
747. NeurIPS 2023Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
748. NeurIPS 2023EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
749. NeurIPS 2023Exponential Lower Bounds for Fictitious Play in Potential Games
750. NeurIPS 2023Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms

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.