通用机器学习 · reinforcement learning论文趋势 2023–2026

通用机器学习：reinforcement_learning

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,676 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

通用机器学习 · reinforcement learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202314666723287
2024101216824403
2025108230712411
202611333511314575

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

全部通用机器学习 · reinforcement learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 847 篇，第 5 / 17 页

  1. ICLR 2026OPPO: Accelerating PPO-based RLHF via Pipeline Overlap
  2. ICLR 2026OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration
  3. ICLR 2026Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPs
  4. ICLR 2026Optimistic Task Inference for Behavior Foundation Models
  5. ICLR 2026Parameter-Efficient Reinforcement Learning using Prefix Optimization
  6. ICLR 2026Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
  7. ICLR 2026Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL
  8. ICLR 2026Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning
  9. ICLR 2026Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement Learning
  10. ICLR 2026Policy Newton Algorithm in Reproducing Kernel Hilbert Space
  11. ICLR 2026PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
  12. ICLR 2026Polychromic Objectives for Reinforcement Learning
  13. ICLR 2026Post-training Large Language Models for Diverse High-Quality Responses
  14. ICLR 2026Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
  15. ICLR 2026Predictive CVaR Q-learning
  16. ICLR 2026Preference-based Policy Optimization from Sparse-reward Offline Dataset
  17. ICLR 2026Primal-Dual Policy Optimization for Adversarial Linear CMDPs
  18. ICLR 2026Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
  19. ICLR 2026Probing in the Dark: State Entropy Maximization for POMDPs
  20. ICLR 2026Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory Inversion
  21. ICLR 2026Prompt Curriculum Learning for Efficient LLM Post-Training
  22. ICLR 2026Q-Learning with Adjoint Matching
  23. ICLR 2026Q-Learning with Fine-Grained Gap-Dependent Regret
  24. ICLR 2026Q-learning with Posterior Sampling
  25. ICLR 2026Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training
  26. ICLR 2026Quantile Advantage Estimation for Entropy-Safe Reasoning
  27. ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
  28. ICLR 2026R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation
  29. ICLR 2026RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
  30. ICLR 2026REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning
  31. ICLR 2026Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment
  32. ICLR 2026Recurrent Action Transformer with Memory
  33. ICLR 2026Reevaluating Policy Gradient Methods for Imperfect-Information Games
  34. ICLR 2026Reference Guided Skill Discovery
  35. ICLR 2026Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
  36. ICLR 2026ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
  37. ICLR 2026Regret-Guided Search Control for Efficient Learning in AlphaZero
  38. ICLR 2026Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
  39. ICLR 2026Reinforcement Learning for Machine Learning Engineering Agents
  40. ICLR 2026Reinforcement Mid-Training
  41. ICLR 2026Reinforcing Diffusion Models by Direct Group Preference Optimization
  42. ICLR 2026Reinforcing General Reasoning Without Verifiers
  43. ICLR 2026Relative Entropy Pathwise Policy Optimization
  44. ICLR 2026Relative Value Learning
  45. ICLR 2026Reliability-Adjusted Prioritized Experience Replay
  46. ICLR 2026Replicable Reinforcement Learning with Linear Function Approximation
  47. ICLR 2026Representation-Based Exploration for Language Models: From Test-Time to Post-Training
  48. ICLR 2026RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
  49. ICLR 2026Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
  50. ICLR 2026Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning

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 查通用机器学习 · reinforcement learning在 ICLR 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": "gml-reinforcement-learning"}

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通用机器学习 · reinforcement learning论文？
共 1,676 篇，按年份分别是 2023 年 287 篇、2024 年 403 篇、2025 年 411 篇、2026 年 575 篇。
NeurIPS 2026 有多少篇通用机器学习 · reinforcement learning论文？
NeurIPS 2026 有 113 篇通用机器学习 · reinforcement learning论文，上一届是 108 篇。
ICLR 2026 有多少篇通用机器学习 · reinforcement learning论文？
ICLR 2026 有 335 篇通用机器学习 · reinforcement learning论文，上一届是 230 篇。
ICML 2026 有多少篇通用机器学习 · reinforcement learning论文？
ICML 2026 有 113 篇通用机器学习 · reinforcement learning论文，上一届是 71 篇。
CVPR 2026 有多少篇通用机器学习 · reinforcement learning论文？
CVPR 2026 有 14 篇通用机器学习 · reinforcement learning论文，上一届是 2 篇。
哪个会议的通用机器学习 · reinforcement learning论文最多？
ICLR，2023–2026 年共 847 篇。

「通用机器学习」下的其他主题