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 868 篇,第 13 / 18 页

  1. NeurIPS 2026CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring
  2. NeurIPS 2026Chain-of-Route: State-Aware LLM Routing for Multi-Turn Conversations
  3. NeurIPS 2026CHAIN: Continual Heterogeneous Cooperation with Information Bottleneck for Multi-Agent Reinforcement Learning
  4. NeurIPS 2026Claude Coke: Prevent Automated Crime by Agents
  5. NeurIPS 2026Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage?
  6. NeurIPS 2026CoffeeBench: A Benchmark for Long-Horizon Strategic Decision-Making in Multi-Agent Economies
  7. NeurIPS 2026Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
  8. NeurIPS 2026Compute-optimal data scaling for neural surrogates via multi-fidelity training
  9. NeurIPS 2026Conditional Multi-Event Temporal Grounding in Long-Form Video
  10. NeurIPS 2026Conformal Agent Error Attribution
  11. NeurIPS 2026Constructive Neural Policies for the Quadratic Assignment Problem via Multi-Expert Imitation
  12. NeurIPS 2026Control Charts for Multi-Agent Systems
  13. NeurIPS 2026Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
  14. NeurIPS 2026Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
  15. NeurIPS 2026Coordination Connectivity: Shared Initialization Shapes the Joint-Policy Landscape in MARL
  16. NeurIPS 2026Correct but Unselectable: The Hidden Interface Tax in Multi-Candidate Reasoning
  17. NeurIPS 2026Counterfactual Distillation: Internalizing Reflective Experience into LLM Agent
  18. NeurIPS 2026Coupling-Aware Reinforcement Learning for Co-Evolving Graph Games
  19. NeurIPS 2026Curvature-Guided Parameter Initialization for Multi-Task Learning
  20. NeurIPS 2026DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
  21. NeurIPS 2026DDACOM: Dual-Decoupled Adaptive Communication for Multi-Agent Reinforcement Learning under Dynamic Networks
  22. NeurIPS 2026DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
  23. NeurIPS 2026Decentralized Multi-Goal Multi-Agent Pathfinding with Spatial Prior and Neighbor Intent Prediction
  24. NeurIPS 2026Decentralized Q-Learning in Markov Potential Games
  25. NeurIPS 2026Decomposed Representations Mitigate the Alignment–Specificity Trade-off in Multi-Omics
  26. NeurIPS 2026Deconstructing Multi-Task Active Learning: The Paradox of Gradient Conflict and Orthogonal Decomposition
  27. NeurIPS 2026DeGlare: Self-Supervised Specular Removal for Industrial Metallic Surfaces via Multi-Illumination Priors
  28. NeurIPS 2026Delve into the Applicability of Advanced Optimizers for Multi-Task Learning
  29. NeurIPS 2026Disentangling Homophilic and Heterophilic Patterns for Multi-Domain Graph Foundation Models
  30. NeurIPS 2026DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers
  31. NeurIPS 2026Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
  32. NeurIPS 2026Drift-Resistant Navigation World Model with Anchored Epipolar Guidance
  33. NeurIPS 2026ECG Dataset with Multi-Expert Annotations and Delineations
  34. NeurIPS 2026Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
  35. NeurIPS 2026Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
  36. NeurIPS 2026EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
  37. NeurIPS 2026Entropy Dynamics of Agent Reinforcement Learning
  38. NeurIPS 2026Epistemic Social Learning: Latent Behavioral Structure under Endogenous Multi-Agent Interaction
  39. NeurIPS 2026EVA: Evidence-seeking Visual Agent for Hallucination-Resistant Multimodal Reasoning
  40. NeurIPS 2026Event based Multi-Velocity-Scale Imaging
  41. NeurIPS 2026EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales
  42. NeurIPS 2026EvoCodeBench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
  43. NeurIPS 2026EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection
  44. NeurIPS 2026EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
  45. NeurIPS 2026Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent Coding
  46. NeurIPS 2026Expanding LLM Agent Boundaries with Strategy-Guided Exploration
  47. NeurIPS 2026FASD: Hardware Acceleration for Multi-AI-Agent Discussion
  48. NeurIPS 2026Fed-AGA: An Anchor Graph Alignment Framework for Federated Unaligned Multi-view Clustering
  49. NeurIPS 2026FELPS: Fair and Efficient Scheduling for Multi-LoRA Serving System
  50. NeurIPS 2026Finite-Sample Convergence in Networked Average Reward MARL: Decentralization Pitfalls and Entropy Remedies

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