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 16 of 43

751. NeurIPS 2026ORCA: Orthogonal Residual Consensus Alignment for Multi-View Clustering
752. NeurIPS 2026OrchestraRL: Learning to Orchestrate LLM Agent Swarms with Entropy-Aware Communication Control
753. NeurIPS 2026Outbidding and Outbluffing Elite Humans: Mastering Liar’s Poker via Self-Play and Reinforcement Learning
754. NeurIPS 2026Outlier-Robust Multi-Output Gaussian Processes
755. NeurIPS 2026Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems
756. NeurIPS 2026PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
757. NeurIPS 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
758. NeurIPS 2026Permutation Sensitivity in t-SVD-based Multi-view Clustering
759. NeurIPS 2026PHOEBI: An Open-World Benchmark for Multi-Label Bacterial Identification in Phase-Contrast Microscopy
760. NeurIPS 2026PhyMo: Learning Physical Dynamics with Accurate and Continuous Motion from Multi-View Videos
761. NeurIPS 2026Physical AI Smart Spaces: A Large-Scale Benchmark for Multi-Camera 3D Perception in Smart Spaces
762. NeurIPS 2026PithTrain: A Compact and Agent-Native MoE Training System
763. NeurIPS 2026PLATO: Pointer Learner for Agent and Task Openness
764. NeurIPS 2026Playing Markov Games Without Observing Payoffs
765. NeurIPS 2026Policy Regret Minimization in Partially Observable Markov Games
766. NeurIPS 2026Policy-Level Exploration for Coordinated Multi-Agent Reinforcement Learning
767. NeurIPS 2026Position: A Safe LLM and a Safe Harness Do Not Make a Safe Agent
768. NeurIPS 2026Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning
769. NeurIPS 2026PREPING: Building Agent Memory without Tasks
770. NeurIPS 2026Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference
771. NeurIPS 2026PurpleAudit: A Co-Evolutionary Auditing Framework for Task Hijacking in Multi-Agent Systems
772. NeurIPS 2026QDMouse4M: A Multi-View 3D Mouse Spontaneous Behavior Dataset with Quantum-Dot Markers
773. NeurIPS 2026Quality-Diversity Optimization as Multi-Objective Optimization
774. NeurIPS 2026Quantum Speedup of Multi-armed Bandits at Scale by Tackling Memory Decoherence
775. NeurIPS 2026RADAR: Routing Agents via Difficulty-Aware Recovery
776. NeurIPS 2026Rare Disease Diagnosis Agent with Decoupled Workflows and Knowledge-Driven Self-Evaluation
777. NeurIPS 2026Recursive Multi-Agent Systems
778. NeurIPS 2026Reinforcement Learning with Multi-Step Lookahead Information Via Adaptive Batching
779. NeurIPS 2026Releasing Anchors from Cross-View Correspondence: Probabilistic Multi-View Anchor Graph Clustering
780. NeurIPS 2026Reliable Federated Multi-View Learning via Conflict-Aware Evidence Calibration
781. NeurIPS 2026Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
782. NeurIPS 2026Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory
783. NeurIPS 2026Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
784. NeurIPS 2026Reward Modeling for Multi-Agent Orchestration
785. NeurIPS 2026RIGOR: Risk-Gated Topology Adaptation for Robust LLM Multi-Agent Reasoning
786. NeurIPS 2026RipBench: A Unified Benchmark for Multi-Level Rip Current Detection, Classification and Segmentation
787. NeurIPS 2026Risk-Calibrated Context Selection for Healthcare Multi-Agent Handoff
788. NeurIPS 2026Robust Multi-view Clustering against Imperfect Information
789. NeurIPS 2026ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
790. NeurIPS 2026RuleSmith: Multi-Agent LLMs for Automated Game Balancing
791. NeurIPS 2026Runtime Verification of Multiple Natural Language Criteria for Agent Governance
792. NeurIPS 2026S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields
793. NeurIPS 2026Safe-Fair MACPO: Burden-Fair Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning
794. NeurIPS 2026SAIR: Cost-Efficient Multi-Stage ML Pipeline Autoscaling via In-Context Reinforcement Learning
795. NeurIPS 2026Saliency-Aware Multi-Route Thinking: Grounding and Reasoning on Vision-Language Agents
796. NeurIPS 2026Scaffold3D: SfM-Conditioned Pointmap Prediction for Multi-View 3D Reconstruction
797. NeurIPS 2026Scalable Multi-Agent Contrastive Reinforcement Learning
798. NeurIPS 2026SCHOLARPEER: A Multi-Agent Framework for Automated Peer Review
799. NeurIPS 2026SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objectives
800. NeurIPS 2026SeaPilot: Mobile Agent with Self-refining Environment Alignment

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.