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

主要结论

• 通用机器学习 · reinforcement learning论文从 2023 年的 287 篇增长到 2026 年的 575 篇，三年间扩大到约 2.0 倍。
• ICLR 是发通用机器学习 · reinforcement learning论文最多的会议，2023–2026 年共 847 篇，占四个会议总量的 51%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 34 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 2；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · reinforcement learning是 2.0 倍。

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

• NeurIPS 2026The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
• ICML 2026De-attribute to Forget for LLM Unlearning
• ICLR 2026AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
• CVPR 2026Dynamic Important Example Mining for Reinforcement Finetuning
• NeurIPS 2025RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
• ICML 2025The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
• ICLR 2025A General Framework for Off-Policy Learning with Partially-Observed Reward
• CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
• NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
• ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
• ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
• CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
• NeurIPS 2023General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
• ICML 2023Non-stationary Reinforcement Learning under General Function Approximation
• ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
• CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
• NeurIPS 2026Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
• ICML 2026Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
• ICLR 2026APPLE: Toward General Active Perception via Reinforcement Learning
• CVPR 2026Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition

全部通用机器学习 · reinforcement learning论文

共 23 篇，第 1 / 1 页

1. CVPR 2026Dynamic Important Example Mining for Reinforcement Finetuning
2. CVPR 2026EVA Efficient Reinforcement Learning for End-to-End Video Agent
3. CVPR 2026General Process Reward Modeling for Robotic Reinforcement Learning
4. CVPR 2026Local Motion Matters A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training
5. CVPR 2026PanoEnv Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement
6. CVPR 2026R-C2 Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
7. CVPR 2026Reading or Reasoning Format Decoupled Reinforcement Learning for Document OCR
8. CVPR 2026Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
9. CVPR 2026ReMoT Reinforcement Learning with Motion Contrast Triplets
10. CVPR 2026Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual
11. CVPR 2026SARL-STG A Spatially Aware Reinforcement Learning Framework for Refining MLLMs
12. CVPR 2026Training One Model to Master Cross-Level Agentic Actions via Reinforcement
13. CVPR 2026Tutor-Student Reinforcement Learning A Dynamic Curriculum for Robust Deepfake Detection
14. CVPR 2026W2W Language-Model-Based Trajectory Prediction with Reinforcement Learning
15. CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
16. CVPR 2025Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
17. CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
18. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
19. CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
20. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
21. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
22. CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
23. CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning

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。