强化学习论文趋势 2023–2026
策略优化、离线 RL 与基于环境的决策学习
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,885 篇被归入该主题的论文。
主要结论
- 强化学习论文从 2023 年的 1,070 篇增长到 2026 年的 2,985 篇，三年间扩大到约 2.8 倍。
- NeurIPS 是发强化学习论文最多的会议，2023–2026 年共 2,494 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是推理模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 437 篇。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 484 | 233 | 297 | 56 | 1,070 |
| 2024 | 466 | 304 | 356 | 64 | 1,190 |
| 2025 | 784 | 379 | 405 | 72 | 1,640 |
| 2026 | 760 | 911 | 1,021 | 293 | 2,985 |
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 2026\texttt{FEROM}: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs
- ICML 2026$\text{DT}^\text{2}$: Decision-Targeted Digital Twins
- ICLR 2026$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Textual Space
- CVPR 2026A Causal Marriage between VLM and IRM from Understanding to
- NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
- ICLR 2025$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
- CVPR 2025All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
- NeurIPS 2024A Critical Evaluation of AI Feedback for Aligning Large Language Models
- ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
- ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
- CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
- NeurIPS 2023“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
- ICML 2023A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
- ICLR 2023$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
- CVPR 2023"Seeing" Electric Network Frequency From Events
- NeurIPS 2026$\varphi$TD: Distributional Reinforcement Learning using Characteristic Functions
- ICML 2026$\textit{S}$-SPPO: Semantic-Calibrated Self-Play Preference Optimization
- ICLR 2026$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning
- CVPR 2026AdaptVision Efficient Vision-Language Models via Adaptive Visual Acquisition
全部强化学习论文
共 6,885 篇，第 94 / 138 页
- CVPR 2024Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
- CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
- CVPR 2024Insights from the Use of Previously Unseen Neural Architecture Search Datasets
- CVPR 2024IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
- CVPR 2024Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
- CVPR 2024Lane2Seq: Towards Unified Lane Detection via Sequence Generation
- CVPR 2024Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
- CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
- CVPR 2024Learning to Select Views for Efficient Multi-View Understanding
- CVPR 2024Learning to Transform Dynamically for Better Adversarial Transferability
- CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
- CVPR 2024LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
- CVPR 2024Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
- CVPR 2024Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
- CVPR 2024MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
- CVPR 2024MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
- CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
- CVPR 2024OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
- CVPR 2024PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
- CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
- CVPR 2024Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
- CVPR 2024PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
- CVPR 2024Previously on ... From Recaps to Story Summarization
- CVPR 2024Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
- CVPR 2024Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
- CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
- CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
- CVPR 2024RepViT: Revisiting Mobile CNN From ViT Perspective
- CVPR 2024Rich Human Feedback for Text-to-Image Generation
- CVPR 2024RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
- CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
- CVPR 2024Selective Nonlinearities Removal from Digital Signals
- CVPR 2024Small Scale Data-Free Knowledge Distillation
- CVPR 2024SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
- CVPR 2024SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
- CVPR 2024Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
- CVPR 2024Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
- CVPR 2024Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
- CVPR 2024WANDR: Intention-guided Human Motion Generation
- ICLR 2024$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
- ICLR 2024$\pi$2vec: Policy Representation with Successor Features
- ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
- ICLR 2024A Dynamical View of the Question of Why
- ICLR 2024A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
- ICLR 2024A Policy Gradient Method for Confounded POMDPs
- ICLR 2024Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
- ICLR 2024Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
- ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
- ICLR 2024Adaptive Rational Activations to Boost Deep Reinforcement Learning
- ICLR 2024Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查强化学习在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "reinforcement-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇强化学习论文？
- 共 6,885 篇，按年份分别是 2023 年 1,070 篇、2024 年 1,190 篇、2025 年 1,640 篇、2026 年 2,985 篇。
- NeurIPS 2026 有多少篇强化学习论文？
- NeurIPS 2026 有 760 篇强化学习论文，上一届是 784 篇。
- ICLR 2026 有多少篇强化学习论文？
- ICLR 2026 有 911 篇强化学习论文，上一届是 379 篇。
- ICML 2026 有多少篇强化学习论文？
- ICML 2026 有 1,021 篇强化学习论文，上一届是 405 篇。
- CVPR 2026 有多少篇强化学习论文？
- CVPR 2026 有 293 篇强化学习论文，上一届是 72 篇。
- 哪个会议的强化学习论文最多？
- NeurIPS，2023–2026 年共 2,494 篇。