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 216 篇，第 1 / 5 页

1. ICLR 2024$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
2. ICLR 2024A Dynamical View of the Question of Why
3. ICLR 2024Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
4. ICLR 2024Adaptive Rational Activations to Boost Deep Reinforcement Learning
5. ICLR 2024Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
6. ICLR 2024Addressing Signal Delay in Deep Reinforcement Learning
7. ICLR 2024Adversarial Imitation Learning via Boosting
8. ICLR 2024AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
9. ICLR 2024AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
10. ICLR 2024Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
11. ICLR 2024Augmented Bayesian Policy Search
12. ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
13. ICLR 2024Behaviour Distillation
14. ICLR 2024Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
15. ICLR 2024Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
16. ICLR 2024Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
17. ICLR 2024Blending Imitation and Reinforcement Learning for Robust Policy Improvement
18. ICLR 2024Bridging State and History Representations: Understanding Self-Predictive RL
19. ICLR 2024Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
20. ICLR 2024Cascading Reinforcement Learning
21. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
22. ICLR 2024Chain of Hindsight aligns Language Models with Feedback
23. ICLR 2024Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
24. ICLR 2024Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
25. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
26. ICLR 2024Confronting Reward Model Overoptimization with Constrained RLHF
27. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
28. ICLR 2024Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
29. ICLR 2024Contrastive Difference Predictive Coding
30. ICLR 2024Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
31. ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
32. ICLR 2024CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
33. ICLR 2024Curiosity-driven Red-teaming for Large Language Models
34. ICLR 2024Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
35. ICLR 2024Decoupling regularization from the action space
36. ICLR 2024Deep Reinforcement Learning for Modelling Protein Complexes
37. ICLR 2024Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
38. ICLR 2024Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
39. ICLR 2024Demonstration-Regularized RL
40. ICLR 2024Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
41. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
42. ICLR 2024DittoGym: Learning to Control Soft Shape-Shifting Robots
43. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
44. ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
45. ICLR 2024Domain Randomization via Entropy Maximization
46. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
47. ICLR 2024DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
48. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
49. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
50. ICLR 2024Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces

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。