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 255 篇，第 1 / 6 页

  1. NeurIPS 2025$i$MIND: Insightful Multi-subject Invariant Neural Decoding
  2. NeurIPS 20253DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
  3. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
  4. NeurIPS 2025A machine learning approach that beats Rubik's cubes
  5. NeurIPS 2025A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
  6. NeurIPS 2025A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
  7. NeurIPS 2025Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
  8. NeurIPS 2025Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
  9. NeurIPS 2025Aeolus: A Multi-structural Flight Delay Dataset
  10. NeurIPS 2025AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
  11. NeurIPS 2025AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
  12. NeurIPS 2025AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
  13. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
  14. NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
  15. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
  16. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
  17. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
  18. NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
  19. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
  20. NeurIPS 2025Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
  21. NeurIPS 2025Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
  22. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
  23. NeurIPS 2025Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
  24. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  25. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
  26. NeurIPS 2025Can Agent Fix Agent Issues?
  27. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
  28. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
  29. NeurIPS 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
  30. NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
  31. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
  32. NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
  33. NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
  34. NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
  35. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
  36. NeurIPS 2025Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning
  37. NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
  38. NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
  39. NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
  40. NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
  41. NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
  42. NeurIPS 2025Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
  43. NeurIPS 2025DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
  44. NeurIPS 2025Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
  45. NeurIPS 2025Diversity-oriented Deep Multi-modal Clustering
  46. NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
  47. NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
  48. NeurIPS 2025EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
  49. NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
  50. NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

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