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 14 / 17 页

  1. NeurIPS 2024Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
  2. NeurIPS 2024Minimum Entropy Coupling with Bottleneck
  3. NeurIPS 2024MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
  4. NeurIPS 2024MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
  5. NeurIPS 2024MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation
  6. NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
  7. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
  8. NeurIPS 2024MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
  9. NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
  10. NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
  11. NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
  12. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
  13. NeurIPS 2024Multi-Head Mixture-of-Experts
  14. NeurIPS 2024Multi-Instance Partial-Label Learning with Margin Adjustment
  15. NeurIPS 2024Multi-Label Learning with Stronger Consistency Guarantees
  16. NeurIPS 2024Multi-Label Open Set Recognition
  17. NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
  18. NeurIPS 2024Multi-modal Situated Reasoning in 3D Scenes
  19. NeurIPS 2024Multi-modal Transfer Learning between Biological Foundation Models
  20. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
  21. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
  22. NeurIPS 2024Multi-Reward Best Policy Identification
  23. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
  24. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
  25. NeurIPS 2024Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
  26. NeurIPS 2024Multi-Winner Reconfiguration
  27. NeurIPS 2024MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding
  28. NeurIPS 2024MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
  29. NeurIPS 2024N-agent Ad Hoc Teamwork
  30. NeurIPS 2024Nimbus: Secure and Efficient Two-Party Inference for Transformers
  31. NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
  32. NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
  33. NeurIPS 2024Not so griddy: Internal representations of RNNs path integrating more than one agent
  34. NeurIPS 2024On the Comparison between Multi-modal and Single-modal Contrastive Learning
  35. NeurIPS 2024On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
  36. NeurIPS 2024On Tractable $\Phi$-Equilibria in Non-Concave Games
  37. NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
  38. NeurIPS 2024Opponent Modeling based on Subgoal Inference
  39. NeurIPS 2024Optimal Multi-Fidelity Best-Arm Identification
  40. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
  41. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
  42. NeurIPS 2024Preference-based Pure Exploration
  43. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
  44. NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
  45. NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
  46. NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
  47. NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
  48. NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
  49. NeurIPS 2024Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
  50. NeurIPS 2024Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling

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