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 784 篇，第 5 / 16 页
- NeurIPS 2025EvoLM: In Search of Lost Language Model Training Dynamics
- NeurIPS 2025EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
- NeurIPS 2025Explainable Reinforcement Learning from Human Feedback to Improve Alignment
- NeurIPS 2025Explainably Safe Reinforcement Learning
- NeurIPS 2025Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
- NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
- NeurIPS 2025ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
- NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
- NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
- NeurIPS 2025Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
- NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
- NeurIPS 2025Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization
- NeurIPS 2025FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
- NeurIPS 2025Fast exact recovery of noisy matrix from few entries: the infinity norm approach
- NeurIPS 2025Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
- NeurIPS 2025Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
- NeurIPS 2025Faster Fixed-Point Methods for Multichain MDPs
- NeurIPS 2025Federated Multi-armed Bandits with Efficient Bit-Level Communications
- NeurIPS 2025Fine-grained List-wise Alignment for Generative Medication Recommendation
- NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
- NeurIPS 2025FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
- NeurIPS 2025Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
- NeurIPS 2025Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
- NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
- NeurIPS 2025First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training
- NeurIPS 2025Flattening Hierarchies with Policy Bootstrapping
- NeurIPS 2025Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
- NeurIPS 2025Flow-Based Policy for Online Reinforcement Learning
- NeurIPS 2025Flow-GRPO: Training Flow Matching Models via Online RL
- NeurIPS 2025Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
- NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
- NeurIPS 2025ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
- NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
- NeurIPS 2025From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots
- NeurIPS 2025From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
- NeurIPS 2025From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
- NeurIPS 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
- NeurIPS 2025Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
- NeurIPS 2025General-Reasoner: Advancing LLM Reasoning Across All Domains
- NeurIPS 2025Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
- NeurIPS 2025Generalizing Experience for Language Agents with Hierarchical MetaFlows
- NeurIPS 2025Generalizing Verifiable Instruction Following
- NeurIPS 2025Generative RLHF-V: Learning Principles from Multi-modal Human Preference
- NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
- NeurIPS 2025Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
- NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
- NeurIPS 2025GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
- NeurIPS 2025Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
- NeurIPS 2025Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
- NeurIPS 2025GoalLadder: Incremental Goal Discovery with Vision-Language 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。