公共政策分析论文趋势 2023–2026

主要结论

• 公共政策分析论文从 2023 年的 16 篇增长到 2026 年的 29 篇，三年间扩大到约 1.8 倍。
• NeurIPS 是发公共政策分析论文最多的会议，2023–2026 年共 45 篇，占四个会议总量的 54%。
• 交叉方向里涨得最快的是强化学习：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 18 篇。
• 在「社会公益」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的电网优化是 2.6 倍，公共政策分析是 1.8 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 2026Co-Evolving Policy Distillation
• ICML 2026Partial Identification of Policy Values under Network Interference
• ICLR 2026Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
• CVPR 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization
• NeurIPS 2025Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
• ICML 2025Improving Value Estimation Critically Enhances Vanilla Policy Gradient
• CVPR 2025AffordDP: Generalizable Diffusion Policy with Transferable Affordance
• NeurIPS 2024SafeWorld: Geo-Diverse Safety Alignment
• ICML 2024Optimal Differentially Private Model Training with Public Data
• NeurIPS 2023Creating a Public Repository for Joining Private Data
• ICML 2023Exponential Smoothing for Off-Policy Learning
• ICLR 2023Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
• NeurIPS 2026Distributionally-Robust Policy Learning from Observational Data
• ICML 2026Personalized Policy Learning through Discrete Experimentation
• NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
• ICML 2025Theoretical guarantees on the best-of-n alignment policy
• NeurIPS 2024Improved off-policy training of diffusion samplers
• ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
• NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
• ICML 2023On Many-Actions Policy Gradient

全部公共政策分析论文

共 45 篇，第 1 / 1 页

1. NeurIPS 2026Beyond SFT-to-RL: Pre-alignment via Black-box On-policy Distillation for Multimodal RL
2. NeurIPS 2026Boosting Off-Policy RLVR with Data-Centric Replay
3. NeurIPS 2026Co-Evolving Policy Distillation
4. NeurIPS 2026Compose Your Oracles: Off Policy Improvement with Aggregated Guidance
5. NeurIPS 2026Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
6. NeurIPS 2026Distributionally-Robust Policy Learning from Observational Data
7. NeurIPS 2026Don’t Let Gains FADE: Breaking Down Policy Gradient Weights in RL
8. NeurIPS 2026Feedback World Model Enables Precise Guidance of Diffusion Policy
9. NeurIPS 2026FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
10. NeurIPS 2026Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
11. NeurIPS 2026Jump Start Your Policy Learning with Lessons from 145,000 Training Runs
12. NeurIPS 2026Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
13. NeurIPS 2026METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
14. NeurIPS 2026Off-policy Learning with Excursion Policies
15. NeurIPS 2026Policy Gradient Algorithms in Average-Reward Multichain MDPs
16. NeurIPS 2026Policy Regret Minimization in Partially Observable Markov Games
17. NeurIPS 2026Proposing Better Rollouts for On-Policy Distillation
18. NeurIPS 2026Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
19. NeurIPS 2026Selective Off-Policy Reference Tuning with Plan Guidance
20. NeurIPS 2026The AI Observatory: A Public Measure of Real-World AI Use
21. NeurIPS 2026Trust Region Policy Distillation
22. NeurIPS 2026Your Teacher Can’t Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation
23. NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
24. NeurIPS 20253D Equivariant Visuomotor Policy Learning via Spherical Projection
25. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
26. NeurIPS 2025Flattening Hierarchies with Policy Bootstrapping
27. NeurIPS 2025FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
28. NeurIPS 2025Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution
29. NeurIPS 2025NeurIPS should lead scientific consensus on AI policy
30. NeurIPS 2025Policy Compatible Skill Incremental Learning via Lazy Learning Interface
31. NeurIPS 2025Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"
32. NeurIPS 2025Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
33. NeurIPS 2025Structure Matters: Dynamic Policy Gradient
34. NeurIPS 2024Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
35. NeurIPS 2024Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
36. NeurIPS 2024Improved off-policy training of diffusion samplers
37. NeurIPS 2024Oracle-Efficient Differentially Private Learning with Public Data
38. NeurIPS 2024SafeWorld: Geo-Diverse Safety Alignment
39. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
40. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
41. NeurIPS 2023Creating a Public Repository for Joining Private Data
42. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
43. NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
44. NeurIPS 2023Private Distribution Learning with Public Data: The View from Sample Compression
45. NeurIPS 2023SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

常见问题

2023–2026 年四大会议一共有多少篇公共政策分析论文？

共 84 篇，按年份分别是 2023 年 16 篇、2024 年 21 篇、2025 年 18 篇、2026 年 29 篇。

NeurIPS 2026 有多少篇公共政策分析论文？

NeurIPS 2026 有 22 篇公共政策分析论文，上一届是 11 篇。

ICLR 2026 有多少篇公共政策分析论文？

ICLR 2026 有 1 篇公共政策分析论文。

ICML 2026 有多少篇公共政策分析论文？

ICML 2026 有 5 篇公共政策分析论文，上一届是 6 篇。

CVPR 2026 有多少篇公共政策分析论文？

CVPR 2026 有 1 篇公共政策分析论文，上一届是 1 篇。

哪个会议的公共政策分析论文最多？

NeurIPS，2023–2026 年共 45 篇。