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 6 / 17 页

  1. NeurIPS 2026SeaPilot: Mobile Agent with Self-refining Environment Alignment
  2. NeurIPS 2026Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles
  3. NeurIPS 2026Seeing Beyond the Next Step: World-Model-Guided Human-Like Navigation in Multi-Agent Scenes
  4. NeurIPS 2026Selective Rollout: Mid-Trajectory Termination for Multi-Sample Agent RL
  5. NeurIPS 2026Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
  6. NeurIPS 2026SIGA: Scientific Simulation Coding Agent Adapter- A Geophysics Case Study
  7. NeurIPS 2026Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
  8. NeurIPS 2026SkillOpt: Executive Strategy for Self-Evolving Agent Skills
  9. NeurIPS 2026SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
  10. NeurIPS 2026SMART: Scalable Multi-Agent Role-conditioned Teaming via LLM-free Tree Search
  11. NeurIPS 2026SpecForge: Agent-Oriented Code Documentation Optimization via Multi-Frontier Tree Search
  12. NeurIPS 2026Spend Only What You Need: Defect-Aware Residual Coverage for Efficient Multi-Agent Reasoning
  13. NeurIPS 2026Stability in Multi-Step Reasoning via Jacobian-based Error Accumulation Analysis
  14. NeurIPS 2026STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision
  15. NeurIPS 2026StateLedger: Path-Addressed External Memory for Persistent Multi-Agent Systems
  16. NeurIPS 2026Stealth Apart, Harm Together: Skill Cascading Attacks on Skill-Based Agent Systems
  17. NeurIPS 2026Structural Entropy Optimized Communication for Multi-Agent Reinforcement Learning
  18. NeurIPS 2026Structurally Separated DAG Learning with Multi-Scale Normalized Closure
  19. NeurIPS 2026Structure-Semantic Guided Closed-Loop Medical Anomaly Detection via Multi-Agent Collaboration
  20. NeurIPS 2026Surface Recovery Is Not State Recovery: Pressure–Recovery–Relapse in Multi-turn LLMs
  21. NeurIPS 2026Sustainability in the Loop: AI Model Development Should Be Multi-Objective
  22. NeurIPS 2026SwitchLingua V2: Agent-Driven Code-Switching via Digital Clones
  23. NeurIPS 2026SyncLight: Single-Edit Multi-View Relighting
  24. NeurIPS 2026Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation
  25. NeurIPS 2026Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation
  26. NeurIPS 2026Test-time Multi-agent Coordination by Decomposed Value Gradient Flow
  27. NeurIPS 2026The Geometry of Agent Skills: Non-Commutative Composition in Representation Space
  28. NeurIPS 2026The Horizon Threshold in Cooperative Multi-Agent Reward-Free Exploration
  29. NeurIPS 2026The Long-Run Distribution of Regularized Learning in Non-Concave Games: A Large Deviations Approach
  30. NeurIPS 2026The Reciprocity Gradient
  31. NeurIPS 2026The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction
  32. NeurIPS 2026The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
  33. NeurIPS 2026TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
  34. NeurIPS 2026To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
  35. NeurIPS 2026ToMAToMP: Robust and Multi-Parameter Topological Clustering
  36. NeurIPS 2026TopoScope: A Graph-Scoped LLM Agent for Printed Circuit Board Schematic Design
  37. NeurIPS 2026Toward Executable Multi-framework Front-end Code Generation with Self-Correction
  38. NeurIPS 2026Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows
  39. NeurIPS 2026Towards Effective and Transferable Physical Camouflage against Multi-View BEV-based 3D Perception in Autonomous Driving
  40. NeurIPS 2026Towards High Semantic Fidelity: Hyperdimensional Symbolic Messages in Multi-Agent Communication
  41. NeurIPS 2026Towards Multi-Human-Value Alignment via Value Localization in LLMs
  42. NeurIPS 2026TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development
  43. NeurIPS 2026Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning
  44. NeurIPS 2026TreemapMix: Dirichlet-Controlled Multi-Image Augmentation for Probability and Ordinal Supervision
  45. NeurIPS 2026Truthful Calibration Errors for Multi-Class Prediction
  46. NeurIPS 2026UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems
  47. NeurIPS 2026Understanding Multi-View Transformers
  48. NeurIPS 2026Unified Panoramic Geometry Estimation via Multi-View Foundation Models
  49. NeurIPS 2026Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems
  50. NeurIPS 2026UniVer: A Unified Perspective for Multi-step and Multi-draft Speculative Decoding

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