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 88 篇，第 2 / 2 页

51. NeurIPS 2023Learning Regularized Monotone Graphon Mean-Field Games
52. NeurIPS 2023Linear Time Algorithms for k-means with Multi-Swap Local Search
53. NeurIPS 2023M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
54. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
55. NeurIPS 2023Multi-Agent First Order Constrained Optimization in Policy Space
56. NeurIPS 2023Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
57. NeurIPS 2023Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
58. NeurIPS 2023Multi-Fidelity Multi-Armed Bandits Revisited
59. NeurIPS 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
60. NeurIPS 2023Multi-Swap k-Means++
61. NeurIPS 2023Multi-task learning with summary statistics
62. NeurIPS 2023Mutual-Information Regularized Multi-Agent Policy Iteration
63. NeurIPS 2023NetHack is Hard to Hack
64. NeurIPS 2023Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
65. NeurIPS 2023OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
66. NeurIPS 2023Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
67. NeurIPS 2023OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
68. NeurIPS 2023Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
69. NeurIPS 2023Policy Space Diversity for Non-Transitive Games
70. NeurIPS 2023Provably (More) Sample-Efficient Offline RL with Options
71. NeurIPS 2023Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
72. NeurIPS 2023Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
73. NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
74. NeurIPS 2023RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
75. NeurIPS 2023Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
76. NeurIPS 2023Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
77. NeurIPS 2023Scalable 3D Captioning with Pretrained Models
78. NeurIPS 2023Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
79. NeurIPS 2023Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
80. NeurIPS 2023SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
81. NeurIPS 2023Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits
82. NeurIPS 2023Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
83. NeurIPS 2023SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
84. NeurIPS 2023The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
85. NeurIPS 2023Tracking Most Significant Shifts in Nonparametric Contextual Bandits
86. NeurIPS 2023Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning
87. NeurIPS 2023Uncovering motifs of concurrent signaling across multiple neuronal populations
88. NeurIPS 2023Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-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。