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

每年论文数

各会议论文数

按年份和会议统计

多智能体 RL论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023883780106311
20241473982105373
202525591115113574
2026319153224172868

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

全部多智能体 RL论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 82 篇，第 1 / 2 页

  1. ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
  2. ICML 2024A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
  3. ICML 2024A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
  4. ICML 2024A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
  5. ICML 2024A Multimodal Automated Interpretability Agent
  6. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
  7. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
  8. ICML 2024An Embodied Generalist Agent in 3D World
  9. ICML 2024Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
  10. ICML 2024ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
  11. ICML 2024Better & Faster Large Language Models via Multi-token Prediction
  12. ICML 2024BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
  13. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
  14. ICML 2024Configurable Mirror Descent: Towards a Unification of Decision Making
  15. ICML 2024Conformal prediction for multi-dimensional time series by ellipsoidal sets
  16. ICML 2024Contrasting Multiple Representations with the Multi-Marginal Matching Gap
  17. ICML 2024Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
  18. ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
  19. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
  20. ICML 2024Detecting Influence Structures in Multi-Agent Reinforcement Learning
  21. ICML 2024DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
  22. ICML 2024EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
  23. ICML 2024Federated Combinatorial Multi-Agent Multi-Armed Bandits
  24. ICML 2024FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
  25. ICML 2024Floating Anchor Diffusion Model for Multi-motif Scaffolding
  26. ICML 2024Generalization Analysis for Multi-Label Learning
  27. ICML 2024GPT-4V(ision) is a Generalist Web Agent, if Grounded
  28. ICML 2024HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
  29. ICML 2024Impact of Decentralized Learning on Player Utilities in Stackelberg Games
  30. ICML 2024Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
  31. ICML 2024Improving Transformers with Dynamically Composable Multi-Head Attention
  32. ICML 2024Incentivized Learning in Principal-Agent Bandit Games
  33. ICML 2024Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
  34. ICML 2024LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
  35. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
  36. ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
  37. ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
  38. ICML 2024Major-Minor Mean Field Multi-Agent Reinforcement Learning
  39. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
  40. ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
  41. ICML 2024Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
  42. ICML 2024Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
  43. ICML 2024Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
  44. ICML 2024Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
  45. ICML 2024Multi-group Learning for Hierarchical Groups
  46. ICML 2024Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
  47. ICML 2024Multi-Sender Persuasion: A Computational Perspective
  48. ICML 2024Multi-Source Conformal Inference Under Distribution Shift
  49. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
  50. ICML 2024Multi-View Stochastic Block Models

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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