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 4 / 7 页

  1. ICML 2023Best Arm Identification in Multi-Agent Multi-Armed Bandits
  2. ICML 2023Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
  3. ICML 2023Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
  4. ICML 2023Complementary Attention for Multi-Agent Reinforcement Learning
  5. ICML 2023Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
  6. ICML 2023Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
  7. ICML 2023Cut your Losses with Squentropy
  8. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
  9. ICML 2023DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
  10. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
  11. ICML 2023DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm
  12. ICML 2023Efficient RL via Disentangled Environment and Agent Representations
  13. ICML 2023Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
  14. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
  15. ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
  16. ICML 2023Fast Rates in Time-Varying Strongly Monotone Games
  17. ICML 2023FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
  18. ICML 2023Hierarchies of Reward Machines
  19. ICML 2023Improved Active Multi-Task Representation Learning via Lasso
  20. ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
  21. ICML 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis
  22. ICML 2023K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
  23. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
  24. ICML 2023Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
  25. ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
  26. ICML 2023Learning to Optimize Differentiable Games
  27. ICML 2023Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
  28. ICML 2023MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
  29. ICML 2023MANSA: Learning Fast and Slow in Multi-Agent Systems
  30. ICML 2023Men Also Do Laundry: Multi-Attribute Bias Amplification
  31. ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
  32. ICML 2023Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
  33. ICML 2023Multi-Agent Best Arm Identification with Private Communications
  34. ICML 2023Multi-Agent Learning from Learners
  35. ICML 2023Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
  36. ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
  37. ICML 2023Multi-channel Autobidding with Budget and ROI Constraints
  38. ICML 2023Multi-class Graph Clustering via Approximated Effective $p$-Resistance
  39. ICML 2023Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
  40. ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
  41. ICML 2023Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
  42. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
  43. ICML 2023Multi-Objective GFlowNets
  44. ICML 2023Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
  45. ICML 2023Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
  46. ICML 2023N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
  47. ICML 2023Network Effects in Performative Prediction Games
  48. ICML 2023On the Generalization of Multi-modal Contrastive Learning
  49. ICML 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
  50. ICML 2023Online Learning in Stackelberg Games with an Omniscient Follower

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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