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 574 篇，第 7 / 12 页

  1. ICML 2025Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
  2. ICML 2025Robust Multi-Agent Reinforcement Learning with Stochastic Adversary
  3. ICML 2025Sable: a Performant, Efficient and Scalable Sequence Model for MARL
  4. ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
  5. ICML 2025SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
  6. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
  7. ICML 2025Synthesizing Software Engineering Data in a Test-Driven Manner
  8. ICML 2025The impact of uncertainty on regularized learning in games
  9. ICML 2025Tight and Fast Bounds for Multi-Label Learning
  10. ICML 2025Towards Practical Defect-Focused Automated Code Review
  11. ICML 2025Towards the Causal Complete Cause of Multi-Modal Representation Learning
  12. ICML 2025Training a Generally Curious Agent
  13. ICML 2025Understanding Bias Reinforcement in LLM Agents Debate
  14. ICML 2025Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
  15. ICML 2025What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
  16. ICML 2025Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
  17. ICML 2025Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
  18. ICML 2025Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
  19. ICML 2025You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption
  20. NeurIPS 2025$i$MIND: Insightful Multi-subject Invariant Neural Decoding
  21. NeurIPS 20253DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
  22. NeurIPS 2025A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
  23. NeurIPS 2025A machine learning approach that beats Rubik's cubes
  24. NeurIPS 2025A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
  25. NeurIPS 2025A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
  26. NeurIPS 2025Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
  27. NeurIPS 2025Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
  28. NeurIPS 2025Aeolus: A Multi-structural Flight Delay Dataset
  29. NeurIPS 2025AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
  30. NeurIPS 2025AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
  31. NeurIPS 2025AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
  32. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
  33. NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
  34. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
  35. NeurIPS 2025APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
  36. NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
  37. NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
  38. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
  39. NeurIPS 2025Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
  40. NeurIPS 2025Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
  41. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
  42. NeurIPS 2025Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
  43. NeurIPS 2025Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios
  44. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
  45. NeurIPS 2025Can Agent Fix Agent Issues?
  46. NeurIPS 2025Can Class-Priors Help Single-Positive Multi-Label Learning?
  47. NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
  48. NeurIPS 2025Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
  49. NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
  50. NeurIPS 2025Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning

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