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 311 篇，第 5 / 7 页

  1. ICML 2023Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
  2. ICML 2023Pareto Regret Analyses in Multi-objective Multi-armed Bandit
  3. ICML 2023Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
  4. ICML 2023PCA-based Multi-Task Learning: a Random Matrix Approach
  5. ICML 2023PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
  6. ICML 2023ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
  7. ICML 2023Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
  8. ICML 2023Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
  9. ICML 2023RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
  10. ICML 2023Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
  11. ICML 2023Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
  12. ICML 2023Revisiting Pseudo-Label for Single-Positive Multi-Label Learning
  13. ICML 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
  14. ICML 2023Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
  15. ICML 2023Statistical Inference on Multi-armed Bandits with Delayed Feedback
  16. ICML 2023Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
  17. ICML 2023Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
  18. ICML 2023The Ideal Continual Learner: An Agent That Never Forgets
  19. ICML 2023The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
  20. ICML 2023The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
  21. ICML 2023Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
  22. ICML 2023Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
  23. ICML 2023What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
  24. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
  25. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
  26. NeurIPS 2023A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
  27. NeurIPS 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
  28. NeurIPS 2023Active Learning for Semantic Segmentation with Multi-class Label Query
  29. NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
  30. NeurIPS 2023An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
  31. NeurIPS 2023An active learning framework for multi-group mean estimation
  32. NeurIPS 2023Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
  33. NeurIPS 2023Arbitrarily Scalable Environment Generators via Neural Cellular Automata
  34. NeurIPS 2023Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
  35. NeurIPS 2023BanditPAM++: Faster $k$-medoids Clustering
  36. NeurIPS 2023Conservative Offline Policy Adaptation in Multi-Agent Games
  37. NeurIPS 2023Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
  38. NeurIPS 2023Covariance-adaptive best arm identification
  39. NeurIPS 2023Creating Multi-Level Skill Hierarchies in Reinforcement Learning
  40. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
  41. NeurIPS 2023Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning
  42. NeurIPS 2023Deep Momentum Multi-Marginal Schrödinger Bridge
  43. NeurIPS 2023Demystifying the Optimal Performance of Multi-Class Classification
  44. NeurIPS 2023DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
  45. NeurIPS 2023Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
  46. NeurIPS 2023Diverse Conventions for Human-AI Collaboration
  47. NeurIPS 2023Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
  48. NeurIPS 2023Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
  49. NeurIPS 2023Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
  50. NeurIPS 2023EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

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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