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

共 224 篇,第 2 / 5 页

  1. ICML 2026DECOR: Learning to Decompose and Collaborate in Deep Search via Multi-Agent Reinforcement Learning
  2. ICML 2026Deep Learning of Compositional Targets with Hierarchical Spectral Methods
  3. ICML 2026Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion
  4. ICML 2026Demystifying the Optimal Fair Classifier in Multi-Class Classification
  5. ICML 2026Detecting Perspective Shifts in Multi-Agent Systems
  6. ICML 2026DGG-HMR: Multi-Person Human Mesh Recovery with Depth-Guided Geometric Anchoring
  7. ICML 2026Discretely-Refined Multi-view Clustering via Aligned Anchor Learning
  8. ICML 2026Distributionally Robust Markov Games with Average Reward
  9. ICML 2026DLM: Unified Decision Language Model for Offline Multi-Agent Sequential Decision Making
  10. ICML 2026Domain Restriction via SAE Multi-Layer Transitions
  11. ICML 2026DRIFT-BENCH: Diagnosing CoopeRative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
  12. ICML 2026Dual Latent Memory for Visual Multi-agent System
  13. ICML 2026Dual-Calibration Multi-View Clustering via Compact Anchor Learning
  14. ICML 2026Dual-channel Dynamic Graph Neural Networks with Adaptive Adjacency Learning and Multi-scale Representation Fusion
  15. ICML 2026Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
  16. ICML 2026E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
  17. ICML 2026EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
  18. ICML 2026Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
  19. ICML 2026Emergence of Biased Consensus in Multi-Agent LLM Debates
  20. ICML 2026Enhanced Multi-Instance Partial Label Learning via Average Gradient Outer Product
  21. ICML 2026Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
  22. ICML 2026Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
  23. ICML 2026Evaluating and Steering Modality Preferences in Multi-modal LLMs
  24. ICML 2026Evolving Interpretable Constitutions for Multi-Agent Coordination
  25. ICML 2026EvoMAS: Evolutionary Generation of Multi-Agent Systems
  26. ICML 2026EvoMAS: Heuristics in the Loop—Evolving Smarter Agentic Workflows
  27. ICML 2026Executable Agentic Memory for GUI Agent
  28. ICML 2026Exploration-free Algorithms for Multi-group Mean Estimation
  29. ICML 2026Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
  30. ICML 2026Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits
  31. ICML 2026Federated Causal Inference on Multi-Site Observational Data via Propensity Score Aggregation
  32. ICML 2026Federated Multi-view Clustering for Remote Sensing Data
  33. ICML 2026FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data
  34. ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
  35. ICML 2026FIRE: Multi-Fidelity Regression with Distribution-Conditioned In-Context Learning Using Tabular Foundation Models
  36. ICML 2026Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
  37. ICML 2026FlowMAP: Flow Matching for Generalizable Agent Planning
  38. ICML 2026Focus and Dilution: The Multi-stage Learning Process of Attention
  39. ICML 2026From Interaction Trajectories to Prompt Rules: Credit Assignment for Multi-Agent Prompt Optimization
  40. ICML 2026FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
  41. ICML 2026GameDevBench: Evaluating Agentic Capabilities Through Game Development
  42. ICML 2026GFD-EMVC: Evolutionary Multi-View Classification with Label Noise via Gradient and Feature Dual-Perception
  43. ICML 2026GLEAN: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
  44. ICML 2026Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
  45. ICML 2026Great Minds Think Alike: Contextual Tacit Communication for Decentralized LLM-Agent Cooperation
  46. ICML 2026GRPO-based Cluster Decision Agent for Unknown-$\boldsymbol{K}$ Multi-view Clustering
  47. ICML 2026HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems
  48. ICML 2026Hierarchical Anchor Graph Learning for Multi-View Clustering
  49. ICML 2026Hierarchical Multi Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
  50. ICML 2026HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

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