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 411 篇，第 1 / 9 页

1. CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
2. CVPR 2025Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
3. ICLR 2025$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
4. ICLR 2025$q$-exponential family for policy optimization
5. ICLR 2025A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
6. ICLR 2025A General Framework for Off-Policy Learning with Partially-Observed Reward
7. ICLR 2025A Generalist Hanabi Agent
8. ICLR 2025A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
9. ICLR 2025A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
10. ICLR 2025A Theoretical Framework for Partially-Observed Reward States in RLHF
11. ICLR 2025Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research
12. ICLR 2025Accelerating Task Generalisation with Multi-Level Skill Hierarchies
13. ICLR 2025ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble
14. ICLR 2025ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
15. ICLR 2025Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
16. ICLR 2025Advantage Alignment Algorithms
17. ICLR 2025Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
18. ICLR 2025An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
19. ICLR 2025Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
20. ICLR 2025Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
21. ICLR 2025BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
22. ICLR 2025Bayesian Analysis of Combinatorial Gaussian Process Bandits
23. ICLR 2025Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
24. ICLR 2025Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
25. ICLR 2025Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
26. ICLR 2025Bisimulation Metric for Model Predictive Control
27. ICLR 2025BodyGen: Advancing Towards Efficient Embodiment Co-Design
28. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
29. ICLR 2025Bootstrapped Model Predictive Control
30. ICLR 2025Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids
31. ICLR 2025Building Math Agents with Multi-Turn Iterative Preference Learning
32. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
33. ICLR 2025Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
34. ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
35. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
36. ICLR 2025ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
37. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
38. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
39. ICLR 2025Conservative Contextual Bandits: Beyond Linear Representations
40. ICLR 2025Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
41. ICLR 2025ContraDiff: Planning Towards High Return States via Contrastive Learning
42. ICLR 2025Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits
43. ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
44. ICLR 2025Cross-Embodiment Dexterous Grasping with Reinforcement Learning
45. ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
46. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
47. ICLR 2025Diffusing States and Matching Scores: A New Framework for Imitation Learning
48. ICLR 2025Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
49. ICLR 2025Diffusion Policy Policy Optimization
50. ICLR 2025Discrete Codebook World Models for Continuous Control

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。