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 147 篇，第 2 / 3 页

51. NeurIPS 2024Hierarchical Federated Learning with Multi-Timescale Gradient Correction
52. NeurIPS 2024How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
53. NeurIPS 2024Implicit Curriculum in Procgen Made Explicit
54. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
55. NeurIPS 2024Infinite Limits of Multi-head Transformer Dynamics
56. NeurIPS 2024Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
57. NeurIPS 2024JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
58. NeurIPS 2024Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
59. NeurIPS 2024Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
60. NeurIPS 2024Learning Distinguishable Trajectory Representation with Contrastive Loss
61. NeurIPS 2024Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
62. NeurIPS 2024Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
63. NeurIPS 2024Learning to Cooperate with Humans using Generative Agents
64. NeurIPS 2024Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
65. NeurIPS 2024Linear Causal Representation Learning from Unknown Multi-node Interventions
66. NeurIPS 2024LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
67. NeurIPS 2024Locally Private and Robust Multi-Armed Bandits
68. NeurIPS 2024Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
69. NeurIPS 2024LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment
70. NeurIPS 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
71. NeurIPS 2024ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
72. NeurIPS 2024MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
73. NeurIPS 2024Maximizing utility in multi-agent environments by anticipating the behavior of other learners
74. NeurIPS 2024Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
75. NeurIPS 2024Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
76. NeurIPS 2024MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations
77. NeurIPS 2024Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
78. NeurIPS 2024Minimum Entropy Coupling with Bottleneck
79. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
80. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
81. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
82. NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
83. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
84. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
85. NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
86. NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
87. NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
88. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
89. NeurIPS 2024Multi-Head Mixture-of-Experts
90. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
91. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
92. NeurIPS 2024Multi-Label Open Set Recognition
93. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
94. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
95. NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
96. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
97. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
98. NeurIPS 2024Multi-Reward Best Policy Identification
99. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
100. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model

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。