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 14 of 17

651. NeurIPS 2024Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
652. NeurIPS 2024Minimum Entropy Coupling with Bottleneck
653. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
654. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
655. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
656. NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
657. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
658. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
659. NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
660. NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
661. NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
662. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
663. NeurIPS 2024Multi-Head Mixture-of-Experts
664. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
665. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
666. NeurIPS 2024Multi-Label Open Set Recognition
667. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
668. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
669. NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
670. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
671. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
672. NeurIPS 2024Multi-Reward Best Policy Identification
673. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
674. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
675. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
676. NeurIPS 2024Multi-Winner Reconfiguration
677. NeurIPS 2024MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding
678. NeurIPS 2024MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
679. NeurIPS 2024N-agent Ad Hoc Teamwork
680. NeurIPS 2024Nimbus: Secure and Efficient Two-Party Inference for Transformers
681. NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
682. NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
683. NeurIPS 2024Not so griddy: Internal representations of RNNs path integrating more than one agent
684. NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
685. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
686. NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
687. NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
688. NeurIPS 2024Opponent Modeling based on Subgoal Inference
689. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
690. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
691. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
692. NeurIPS 2024Preference-based Pure Exploration
693. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
694. NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
695. NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
696. NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
697. NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
698. NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
699. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
700. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling

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.