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 230 篇，第 1 / 5 页

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

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。