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 1,640 篇，第 21 / 33 页
- NeurIPS 2025DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
- NeurIPS 2025DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
- NeurIPS 2025Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
- NeurIPS 2025Deployment Efficient Reward-Free Exploration with Linear Function Approximation
- NeurIPS 2025DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
- NeurIPS 2025DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation
- NeurIPS 2025DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
- NeurIPS 2025Differentiable Decision Tree via "ReLU+Argmin" Reformulation
- NeurIPS 2025Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
- NeurIPS 2025Diffusion Models Meet Contextual Bandits
- NeurIPS 2025DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
- NeurIPS 2025DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
- NeurIPS 2025Distances for Markov chains from sample streams
- NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
- NeurIPS 2025Diversity-Aware Policy Optimization for Large Language Model Reasoning
- NeurIPS 2025DMWM: Dual-Mind World Model with Long-Term Imagination
- NeurIPS 2025Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
- NeurIPS 2025Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
- NeurIPS 2025Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
- NeurIPS 2025Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
- NeurIPS 2025Doubly Robust Alignment for Large Language Models
- NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
- NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
- NeurIPS 2025DyMoDreamer: World Modeling with Dynamic Modulation
- NeurIPS 2025Dyn-O: Building Structured World Models with Object-Centric Representations
- NeurIPS 2025DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
- NeurIPS 2025Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
- NeurIPS 2025DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
- NeurIPS 2025Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
- NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
- NeurIPS 2025EconGym: A Scalable AI Testbed with Diverse Economic Tasks
- NeurIPS 2025EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
- NeurIPS 2025Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
- NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
- NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
- NeurIPS 2025Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
- NeurIPS 2025Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
- NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
- NeurIPS 2025EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
- NeurIPS 2025Elastic ViTs from Pretrained Models without Retraining
- NeurIPS 2025Eliciting Reasoning in Language Models with Cognitive Tools
- NeurIPS 2025Eluder dimension: localise it!
- NeurIPS 2025Embodied Crowd Counting
- NeurIPS 2025Emerging Risks from Embodied AI Require Urgent Policy Action
- NeurIPS 2025Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
- NeurIPS 2025Empowering Decision Trees via Shape Function Branching
- NeurIPS 2025Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
- NeurIPS 2025Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
- NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
- NeurIPS 2025Enhancing Tactile-based Reinforcement Learning for Robotic Control
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。