探索利用论文趋势 2023–2026

Bandit 在线学习

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 235 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

探索利用论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202318919147
202430625263
2025201021354
2026252319471

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

全部探索利用论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 30 篇，第 1 / 1 页

  1. NeurIPS 2024Bandits with Preference Feedback: A Stackelberg Game Perspective
  2. NeurIPS 2024Beyond Optimism: Exploration With Partially Observable Rewards
  3. NeurIPS 2024Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
  4. NeurIPS 2024Effective Exploration Based on the Structural Information Principles
  5. NeurIPS 2024Exploration by Learning Diverse Skills through Successor State Representations
  6. NeurIPS 2024Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
  7. NeurIPS 2024First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
  8. NeurIPS 2024Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
  9. NeurIPS 2024Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
  10. NeurIPS 2024How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
  11. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
  12. NeurIPS 2024Improved Regret of Linear Ensemble Sampling
  13. NeurIPS 2024Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
  14. NeurIPS 2024Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
  15. NeurIPS 2024NeoRL: Efficient Exploration for Nonepisodic RL
  16. NeurIPS 2024No-Regret Bandit Exploration based on Soft Tree Ensemble Model
  17. NeurIPS 2024Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
  18. NeurIPS 2024Online Learning of Delayed Choices
  19. NeurIPS 2024Online Non-convex Learning in Dynamic Environments
  20. NeurIPS 2024Optimal Clustering with Bandit Feedback
  21. NeurIPS 2024Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
  22. NeurIPS 2024Preference-based Pure Exploration
  23. NeurIPS 2024PRODuctive bandits: Importance Weighting No More
  24. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
  25. NeurIPS 2024Provably Efficient Interactive-Grounded Learning with Personalized Reward
  26. NeurIPS 2024Query-Efficient Correlation Clustering with Noisy Oracle
  27. NeurIPS 2024Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
  28. NeurIPS 2024Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
  29. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
  30. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates

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 查探索利用在 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": "exploration-exploitation"}

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探索利用论文？
共 235 篇，按年份分别是 2023 年 47 篇、2024 年 63 篇、2025 年 54 篇、2026 年 71 篇。
NeurIPS 2026 有多少篇探索利用论文？
NeurIPS 2026 有 25 篇探索利用论文，上一届是 20 篇。
ICLR 2026 有多少篇探索利用论文？
ICLR 2026 有 23 篇探索利用论文，上一届是 10 篇。
ICML 2026 有多少篇探索利用论文？
ICML 2026 有 19 篇探索利用论文，上一届是 21 篇。
CVPR 2026 有多少篇探索利用论文？
CVPR 2026 有 4 篇探索利用论文，上一届是 3 篇。
哪个会议的探索利用论文最多？
NeurIPS，2023–2026 年共 93 篇。

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