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 2 / 6 页

  1. NeurIPS 2025Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
  2. NeurIPS 2025Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
  3. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
  4. NeurIPS 2025Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
  5. NeurIPS 2025Emergence and scaling laws in SGD learning of shallow neural networks
  6. NeurIPS 2025Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
  7. NeurIPS 2025Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
  8. NeurIPS 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
  9. NeurIPS 2025Evaluating LLMs in Open-Source Games
  10. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
  11. NeurIPS 2025Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits
  12. NeurIPS 2025Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
  13. NeurIPS 2025Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
  14. NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
  15. NeurIPS 2025FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
  16. NeurIPS 2025Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
  17. NeurIPS 2025Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
  18. NeurIPS 2025Federated Multi-armed Bandits with Efficient Bit-Level Communications
  19. NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
  20. NeurIPS 2025From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
  21. NeurIPS 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
  22. NeurIPS 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning
  23. NeurIPS 2025GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
  24. NeurIPS 2025Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
  25. NeurIPS 2025Gemstones: A Model Suite for Multi-Faceted Scaling Laws
  26. NeurIPS 2025Generalizing Experience for Language Agents with Hierarchical MetaFlows
  27. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
  28. NeurIPS 2025Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
  29. NeurIPS 2025GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
  30. NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework
  31. NeurIPS 2025Gradient Multi-Normalization for Efficient LLM Training
  32. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
  33. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
  34. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  35. NeurIPS 2025Group-in-Group Policy Optimization for LLM Agent Training
  36. NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
  37. NeurIPS 2025GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
  38. NeurIPS 2025GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning
  39. NeurIPS 2025Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
  40. NeurIPS 2025High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
  41. NeurIPS 2025HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
  42. NeurIPS 2025HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
  43. NeurIPS 2025HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
  44. NeurIPS 2025How to Train Your LLM Web Agent: A Statistical Diagnosis
  45. NeurIPS 2025HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
  46. NeurIPS 2025Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization
  47. NeurIPS 2025HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
  48. NeurIPS 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
  49. NeurIPS 2025HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
  50. NeurIPS 2025Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings

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。

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