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 809 篇，第 9 / 17 页

  1. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
  2. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
  3. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  4. NeurIPS 2025Group-in-Group Policy Optimization for LLM Agent Training
  5. NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
  6. NeurIPS 2025GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
  7. NeurIPS 2025GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning
  8. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  9. NeurIPS 2025High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
  10. NeurIPS 2025HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
  11. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
  12. NeurIPS 2025HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
  13. NeurIPS 2025How to Train Your LLM Web Agent: A Statistical Diagnosis
  14. NeurIPS 2025HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
  15. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
  16. NeurIPS 2025HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
  17. NeurIPS 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
  18. NeurIPS 2025HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
  19. NeurIPS 2025Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
  20. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
  21. NeurIPS 2025In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
  22. NeurIPS 2025Incentivizing Truthful Language Models via Peer Elicitation Games
  23. NeurIPS 2025Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion
  24. NeurIPS 2025Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
  25. NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
  26. NeurIPS 2025Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
  27. NeurIPS 2025JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
  28. NeurIPS 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
  29. NeurIPS 2025Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
  30. NeurIPS 2025Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
  31. NeurIPS 2025KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
  32. NeurIPS 2025KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
  33. NeurIPS 2025L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
  34. NeurIPS 2025Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
  35. NeurIPS 2025Large Language Models Miss the Multi-agent Mark
  36. NeurIPS 2025Learning “Partner-Aware” Collaborators in Multi-Party Collaboration
  37. NeurIPS 2025Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
  38. NeurIPS 2025Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
  39. NeurIPS 2025Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering
  40. NeurIPS 2025Learning Multi-Source and Robust Representations for Continual Learning
  41. NeurIPS 2025Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws
  42. NeurIPS 2025Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
  43. NeurIPS 2025Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
  44. NeurIPS 2025Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs
  45. NeurIPS 2025LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering
  46. NeurIPS 2025LLM-PySC2: Starcraft II learning environment for Large Language Models
  47. NeurIPS 2025LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
  48. NeurIPS 2025MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
  49. NeurIPS 2025Many LLMs Are More Utilitarian Than One
  50. NeurIPS 2025Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

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。

「博弈与规划」下的其他主题