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 8 / 33 页
- ICLR 2025Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
- ICLR 2025Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency
- ICLR 2025REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
- ICLR 2025Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
- ICLR 2025Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
- ICLR 2025Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
- ICLR 2025Regulatory DNA Sequence Design with Reinforcement Learning
- ICLR 2025Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
- ICLR 2025Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
- ICLR 2025Reinforcement learning with combinatorial actions for coupled restless bandits
- ICLR 2025Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning
- ICLR 2025Residual-MPPI: Online Policy Customization for Continuous Control
- ICLR 2025Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
- ICLR 2025Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
- ICLR 2025Revisiting a Design Choice in Gradient Temporal Difference Learning
- ICLR 2025REvolve: Reward Evolution with Large Language Models using Human Feedback
- ICLR 2025Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
- ICLR 2025Reward Learning from Multiple Feedback Types
- ICLR 2025Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
- ICLR 2025Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
- ICLR 2025RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
- ICLR 2025Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
- ICLR 2025Robust Transfer of Safety-Constrained Reinforcement Learning Agents
- ICLR 2025RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
- ICLR 2025Safety Representations for Safer Policy Learning
- ICLR 2025Safety-Prioritizing Curricula for Constrained Reinforcement Learning
- ICLR 2025Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
- ICLR 2025Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
- ICLR 2025Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
- ICLR 2025Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
- ICLR 2025Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
- ICLR 2025Select before Act: Spatially Decoupled Action Repetition for Continuous Control
- ICLR 2025SELF-EVOLVED REWARD LEARNING FOR LLMS
- ICLR 2025Self-Improving Robust Preference Optimization
- ICLR 2025Self-Play Preference Optimization for Language Model Alignment
- ICLR 2025Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
- ICLR 2025Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
- ICLR 2025SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
- ICLR 2025Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
- ICLR 2025SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
- ICLR 2025SFESS: Score Function Estimators for $k$-Subset Sampling
- ICLR 2025SFS: Smarter Code Space Search improves LLM Inference Scaling
- ICLR 2025Sharpness-Aware Black-Box Optimization
- ICLR 2025SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
- ICLR 2025Simple, Good, Fast: Self-Supervised World Models Free of Baggage
- ICLR 2025Simplifying Deep Temporal Difference Learning
- ICLR 2025SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
- ICLR 2025Solving hidden monotone variational inequalities with surrogate losses
- ICLR 2025SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
- ICLR 2025Sparse Autoencoders Reveal Temporal Difference Learning in Large 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。