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 36 of 43

1751. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
1752. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
1753. NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
1754. NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
1755. NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
1756. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
1757. NeurIPS 2024Multi-Head Mixture-of-Experts
1758. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
1759. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
1760. NeurIPS 2024Multi-Label Open Set Recognition
1761. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
1762. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
1763. NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
1764. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
1765. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
1766. NeurIPS 2024Multi-Reward Best Policy Identification
1767. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
1768. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
1769. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
1770. NeurIPS 2024Multi-Winner Reconfiguration
1771. NeurIPS 2024MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding
1772. NeurIPS 2024MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
1773. NeurIPS 2024N-agent Ad Hoc Teamwork
1774. NeurIPS 2024Nimbus: Secure and Efficient Two-Party Inference for Transformers
1775. NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
1776. NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
1777. NeurIPS 2024Not so griddy: Internal representations of RNNs path integrating more than one agent
1778. NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
1779. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
1780. NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
1781. NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
1782. NeurIPS 2024Opponent Modeling based on Subgoal Inference
1783. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
1784. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
1785. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
1786. NeurIPS 2024Preference-based Pure Exploration
1787. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
1788. NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
1789. NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
1790. NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
1791. NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
1792. NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
1793. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
1794. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
1795. NeurIPS 2024RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
1796. NeurIPS 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
1797. NeurIPS 2024Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
1798. NeurIPS 2024Safe Exploitative Play with Untrusted Type Beliefs
1799. NeurIPS 2024Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
1800. NeurIPS 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

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.