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 501 篇，第 5 / 11 页

  1. ICML 2026TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
  2. ICML 2026TACTIC: Task-Aware Sparse Coordination Graphs for Multi-Task Multi-agent Reinforcement Learning
  3. ICML 2026TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
  4. ICML 2026The Truth Stays in the Family: Enhancing Contextual Truthfulness via Inherited Heads in Model Lineages
  5. ICML 2026The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
  6. ICML 2026Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence
  7. ICML 2026Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
  8. ICML 2026Towards Complete Multi-Agent Coordination Policy Learning via Denoising Maximum Entropy Optimization
  9. ICML 2026Transformed Latent Variable Multi-Output Gaussian Processes
  10. ICML 2026Transformers learn factored representations
  11. ICML 2026Value Aggregation with Uncertainty in Online Decentralized MARL
  12. ICML 2026Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
  13. ICML 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
  14. ICML 2026What Linear Probes Miss: Multi-View Probing for Weight-Space Learning
  15. ICML 2026What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning
  16. ICML 2026When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
  17. ICML 2026When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
  18. ICML 2026When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
  19. ICML 2026When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
  20. ICML 2026When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
  21. ICML 2026When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
  22. ICML 2026When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents
  23. ICML 2026Why Dedicated Critics: Eliminating Target Drift in Multi-Constraint RL
  24. ICML 2026Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
  25. ICML 2025A Classification View on Meta Learning Bandits
  26. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
  27. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
  28. ICML 2025Ad-Hoc Human-AI Coordination Challenge
  29. ICML 2025Adaptive Sample Sharing for Multi Agent Linear Bandits
  30. ICML 2025Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review
  31. ICML 2025Agent Workflow Memory
  32. ICML 2025Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
  33. ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
  34. ICML 2025Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?
  35. ICML 2025AssistanceZero: Scalably Solving Assistance Games
  36. ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
  37. ICML 2025AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
  38. ICML 2025BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
  39. ICML 2025Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
  40. ICML 2025Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
  41. ICML 2025Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  42. ICML 2025Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
  43. ICML 2025Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
  44. ICML 2025Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
  45. ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
  46. ICML 2025Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
  47. ICML 2025Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
  48. ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
  49. ICML 2025Core Knowledge Deficits in Multi-Modal Language Models
  50. ICML 2025Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making

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