多智能体 RL论文趋势 2023–2026
博弈与 MARL
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,126 篇被归入该主题的论文。
主要结论
- 多智能体 RL论文从 2023 年的 311 篇增长到 2026 年的 868 篇，三年间扩大到约 2.8 倍。
- NeurIPS 是发多智能体 RL论文最多的会议，2023–2026 年共 809 篇，占四个会议总量的 38%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 70 篇。
- 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的经典规划是 3.3 倍，多智能体 RL是 2.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 88 | 37 | 80 | 106 | 311 |
| 2024 | 147 | 39 | 82 | 105 | 373 |
| 2025 | 255 | 91 | 115 | 113 | 574 |
| 2026 | 319 | 153 | 224 | 172 | 868 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部多智能体 RL论文
共 868 篇，第 11 / 18 页
- ICML 2026PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
- ICML 2026PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
- ICML 2026Probability of Matching for Batch Multi-Objective Bayesian Optimization
- ICML 2026ProConMV: Provenance-Enabled Conceptual Framework for Interpretable Multi-View Diabetic Retinopathy Diagnosis
- ICML 2026Provably Convergent Actor-Critic for MARL through Risk-aversion
- ICML 2026RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
- ICML 2026Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
- ICML 2026Representational Similarity and Model Behavior in Multi-Agent Interaction
- ICML 2026Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
- ICML 2026Robust Signal Enhancement via Fractional Detail Views and Knowledge Guided Multi-view Fusion
- ICML 2026Role-Level Inductive Bias for Cross-Task Generalization in Multi-Agent Reinforcement Learning
- ICML 2026Scalable Traffic Signal Control with Shared Policy Framework
- ICML 2026ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
- ICML 2026ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management
- ICML 2026Scaling Small Agents Through Strategy Auctions
- ICML 2026SciAgentGym: Benchmarking Multi-Step Scientific Tool-Use in LLM Agents
- ICML 2026Secure Multi-agent Reinforcement Learning for Service Systems with Affinity and Byzantine Nodes: Stability Analysis and Protection Design
- ICML 2026Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation
- ICML 2026Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning
- ICML 2026Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
- ICML 2026StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
- ICML 2026Structured Multi-modal Graph Disentanglement for Psychiatric Diagnosis
- ICML 2026SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
- ICML 2026Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs
- ICML 2026T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning
- ICML 2026TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
- ICML 2026TACTIC: Task-Aware Sparse Coordination Graphs for Multi-Task Multi-agent Reinforcement Learning
- ICML 2026TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
- ICML 2026The Truth Stays in the Family: Enhancing Contextual Truthfulness via Inherited Heads in Model Lineages
- ICML 2026The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
- ICML 2026Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence
- ICML 2026Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
- ICML 2026Towards Complete Multi-Agent Coordination Policy Learning via Denoising Maximum Entropy Optimization
- ICML 2026Transformed Latent Variable Multi-Output Gaussian Processes
- ICML 2026Transformers learn factored representations
- ICML 2026Value Aggregation with Uncertainty in Online Decentralized MARL
- ICML 2026Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
- ICML 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
- ICML 2026What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
- ICML 2026What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning
- ICML 2026When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
- ICML 2026When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
- ICML 2026When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
- ICML 2026When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
- ICML 2026When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
- ICML 2026When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
- ICML 2026When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents
- ICML 2026Why Dedicated Critics: Eliminating Target Drift in Multi-Constraint RL
- ICML 2026Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
- NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查多智能体 RL在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "multi-agent-rl"}
常见问题
- 2023–2026 年四大会议一共有多少篇多智能体 RL论文？
- 共 2,126 篇，按年份分别是 2023 年 311 篇、2024 年 373 篇、2025 年 574 篇、2026 年 868 篇。
- NeurIPS 2026 有多少篇多智能体 RL论文？
- NeurIPS 2026 有 319 篇多智能体 RL论文，上一届是 255 篇。
- ICLR 2026 有多少篇多智能体 RL论文？
- ICLR 2026 有 153 篇多智能体 RL论文，上一届是 91 篇。
- ICML 2026 有多少篇多智能体 RL论文？
- ICML 2026 有 224 篇多智能体 RL论文，上一届是 115 篇。
- CVPR 2026 有多少篇多智能体 RL论文？
- CVPR 2026 有 172 篇多智能体 RL论文，上一届是 113 篇。
- 哪个会议的多智能体 RL论文最多？
- NeurIPS，2023–2026 年共 809 篇。