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 293 篇,第 4 / 6 页
- CVPR 2026Monet Reasoning in Latent Visual Space Beyond Image and Language
- CVPR 2026MorphSeek Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration
- CVPR 2026MSJoE Jointly Evolving MLLM and Sampler for Efficient Long-Form Video
- CVPR 2026MSRL Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
- CVPR 2026MultiCrafter High-Fidelity Multi-Subject Generation via Disentangled Attention and Identity-Aware Preference
- CVPR 2026Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control
- CVPR 2026NIL No-data Imitation Learning
- CVPR 2026NoRD A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
- CVPR 2026NS-Diff Fluid Navier-Stokes Guided Video Diffusion via Reinforcement Learning
- CVPR 2026OddGridBench Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in
- CVPR 2026Omni-Fake Benchmarking Unified Multimodal Social Media Deepfake Detection
- CVPR 2026OmniVTG A Large-Scale Dataset and Training Paradigm for Open-World Video
- CVPR 2026OneThinker All-in-one Reasoning Model for Image and Video
- CVPR 2026OpenMMReasoner Pushing the Frontiers in Multimodal Reasoning with an Open
- CVPR 2026OralGPT-Plus Learning to Use Visual Tools via Reinforcement Learning for
- CVPR 2026OraPO Oracle-educated Reinforcement Learning for Data-efficient and Factual Radiology Report
- CVPR 2026PaCo-RL Advancing Reinforcement Learning for Consistent Image Generation with Pairwise
- CVPR 2026PanoEnv Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement
- CVPR 2026Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited
- CVPR 2026ParaUni Enhance Generation in Unified Multimodal Model with Reinforcement-driven Hierarchical
- CVPR 2026PDCR Perception-Decomposed Confidence Reward for Vision-Language Reasoning
- CVPR 2026Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning
- CVPR 2026POCA Pareto-Optimal Curriculum Alignment for Visual Text Generation
- CVPR 2026PointThinker Point-Incentivized Parallel Thinking for Multimodal Large Language Model
- CVPR 2026Predicting Spatial Transcriptomics from Histology Images via High-Order Multi-Cell Interaction
- CVPR 2026PromptEnhancer Taming Your Rewriter for Text-to-Image Generation via Fine-Grained Reward
- CVPR 2026PromptLoop Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model
- CVPR 2026PROMPTMINER Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement
- CVPR 2026PSR Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards
- CVPR 2026Push-and-Step From RL-Based Balance Recovery to Physical Simulation of Dense
- CVPR 2026PvP Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
- CVPR 2026R-4B Incentivizing General-Purpose Auto-Thinking in MLLMs via Bi-Mode Annealing and
- CVPR 2026R-C2 Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
- CVPR 2026R3-PCQA Ray-Reprojection-Reinforcement for No-Reference 3D Point Cloud Quality Assessment
- CVPR 2026RawMetaDiff Unlocking Extreme Darkness from Dual-Exposure RAW with Meta-Guided Diffusion
- CVPR 2026Reading or Reasoning Format Decoupled Reinforcement Learning for Document OCR
- CVPR 2026ReAG Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
- CVPR 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization
- CVPR 2026RealUnify Do Unified Models Truly Benefit from Unification A Comprehensive
- CVPR 2026Reasoning Palette Modulating Reasoning via Latent Contextualization for Controllable Exploration
- CVPR 2026Reasoning-Driven Anomaly Detection and Localization with Image-Level Supervision
- CVPR 2026RebRL Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits
- CVPR 2026Recovering Physically Plausible Human-Object Interactions from Monocular Videos
- CVPR 2026Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task
- CVPR 2026Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
- CVPR 2026RehearseVLA Simulated Post-Training for VLAs with Physically-Consistent World Model
- CVPR 2026Reinforce to Learn Elect to Reason A Dual Paradigm for
- CVPR 2026Reinforcing Structured Chain-of-Thought for Video Understanding
- CVPR 2026Reinforcing Video Object Segmentation to Think before it Segments
- CVPR 2026ReLaX Reasoning with Latent Exploration for Large Reasoning Models
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。