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 93 / 138 页
- NeurIPS 2025VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
- NeurIPS 2025VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
- NeurIPS 2025VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
- NeurIPS 2025Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
- NeurIPS 2025VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
- NeurIPS 2025VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
- NeurIPS 2025WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
- NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
- NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
- NeurIPS 2025What do you know? Bayesian knowledge inference for navigating agents
- NeurIPS 2025What Makes a Reward Model a Good Teacher? An Optimization Perspective
- NeurIPS 2025WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
- NeurIPS 2025When Can Model-Free Reinforcement Learning be Enough for Thinking?
- NeurIPS 2025When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
- NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
- NeurIPS 2025When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
- NeurIPS 2025Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints
- NeurIPS 2025Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
- NeurIPS 2025World Models as Reference Trajectories for Rapid Motor Adaptation
- NeurIPS 2025World-aware Planning Narratives Enhance Large Vision-Language Model Planner
- NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
- NeurIPS 2025Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
- NeurIPS 2025Zero-shot World Models via Search in Memory
- NeurIPS 2025Zeroth-Order Optimization Finds Flat Minima
- NeurIPS 2025Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs
- CVPR 20243DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images
- CVPR 2024Active Object Detection with Knowledge Aggregation and Distillation from Large Models
- CVPR 2024Activity-Biometrics: Person Identification from Daily Activities
- CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
- CVPR 2024An Interactive Navigation Method with Effect-oriented Affordance
- CVPR 2024Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
- CVPR 2024Authentic Hand Avatar from a Phone Scan via Universal Hand Model
- CVPR 2024Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
- CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
- CVPR 2024Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
- CVPR 2024ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
- CVPR 2024Detector-Free Structure from Motion
- CVPR 2024Diffusion Model Alignment Using Direct Preference Optimization
- CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
- CVPR 2024Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
- CVPR 2024DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
- CVPR 2024Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
- CVPR 2024Dynamic Prompt Optimizing for Text-to-Image Generation
- CVPR 2024EgoGen: An Egocentric Synthetic Data Generator
- CVPR 2024Ensemble Diversity Facilitates Adversarial Transferability
- CVPR 2024Event-based Structure-from-Orbit
- CVPR 2024From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
- CVPR 2024From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
- CVPR 2024Gated Fields: Learning Scene Reconstruction from Gated Videos
- CVPR 2024GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
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。