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 847 篇，第 8 / 17 页

351. ICLR 2025An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
352. ICLR 2025Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
353. ICLR 2025Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
354. ICLR 2025BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
355. ICLR 2025Bayesian Analysis of Combinatorial Gaussian Process Bandits
356. ICLR 2025Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
357. ICLR 2025Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
358. ICLR 2025Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
359. ICLR 2025Bisimulation Metric for Model Predictive Control
360. ICLR 2025BodyGen: Advancing Towards Efficient Embodiment Co-Design
361. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
362. ICLR 2025Bootstrapped Model Predictive Control
363. ICLR 2025Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids
364. ICLR 2025Building Math Agents with Multi-Turn Iterative Preference Learning
365. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
366. ICLR 2025Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
367. ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
368. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
369. ICLR 2025ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
370. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
371. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
372. ICLR 2025Conservative Contextual Bandits: Beyond Linear Representations
373. ICLR 2025Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
374. ICLR 2025ContraDiff: Planning Towards High Return States via Contrastive Learning
375. ICLR 2025Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits
376. ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
377. ICLR 2025Cross-Embodiment Dexterous Grasping with Reinforcement Learning
378. ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
379. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
380. ICLR 2025Diffusing States and Matching Scores: A New Framework for Imitation Learning
381. ICLR 2025Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
382. ICLR 2025Diffusion Policy Policy Optimization
383. ICLR 2025Discrete Codebook World Models for Continuous Control
384. ICLR 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
385. ICLR 2025Discriminator-Guided Embodied Planning for LLM Agent
386. ICLR 2025Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
387. ICLR 2025Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
388. ICLR 2025DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
389. ICLR 2025Doubly Optimal Policy Evaluation for Reinforcement Learning
390. ICLR 2025Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
391. ICLR 2025Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
392. ICLR 2025Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
393. ICLR 2025Efficient Active Imitation Learning with Random Network Distillation
394. ICLR 2025Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
395. ICLR 2025Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
396. ICLR 2025Efficient Imitation under Misspecification
397. ICLR 2025Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
398. ICLR 2025Efficient Off-Policy Learning for High-Dimensional Action Spaces
399. ICLR 2025Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
400. ICLR 2025Efficient Policy Evaluation with Safety Constraint for 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。