多智能体 RL论文趋势 2023–2026

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。

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 82 篇，第 2 / 2 页

51. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
52. ICML 2024Neural Collapse in Multi-label Learning with Pick-all-label Loss
53. ICML 2024On Interpolating Experts and Multi-Armed Bandits
54. ICML 2024On Multi-Armed Bandit with Impatient Arms
55. ICML 2024On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
56. ICML 2024Optimistic Multi-Agent Policy Gradient
57. ICML 2024Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
58. ICML 2024PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
59. ICML 2024Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
60. ICML 2024Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
61. ICML 2024Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
62. ICML 2024R2E: Turning any Github Repository into a Programming Agent Environment
63. ICML 2024Regression with Multi-Expert Deferral
64. ICML 2024Representation Surgery for Multi-Task Model Merging
65. ICML 2024Reward Shaping for Reinforcement Learning with An Assistant Reward Agent
66. ICML 2024Robust Multi-Task Learning with Excess Risks
67. ICML 2024Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
68. ICML 2024Sampling-based Multi-dimensional Recalibration
69. ICML 2024Scalable Safe Policy Improvement for Factored Multi-Agent MDPs
70. ICML 2024Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
71. ICML 2024Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
72. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
73. ICML 2024SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
74. ICML 2024Smooth Tchebycheff Scalarization for Multi-Objective Optimization
75. ICML 2024Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
76. ICML 2024SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
77. ICML 2024Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
78. ICML 2024Towards Unified Multi-granularity Text Detection with Interactive Attention
79. ICML 2024Unbiased Multi-Label Learning from Crowdsourced Annotations
80. ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
81. ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
82. ICML 2024WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

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。