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 70 / 138 页
- ICML 2025Accurate and Efficient World Modeling with Masked Latent Transformers
- ICML 2025Action-Constrained Imitation Learning
- ICML 2025Action-Dependent Optimality-Preserving Reward Shaping
- ICML 2025Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
- ICML 2025Active Fine-Tuning of Multi-Task Policies
- ICML 2025Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment
- ICML 2025Actor-Critics Can Achieve Optimal Sample Efficiency
- ICML 2025Ad Hoc Teamwork via Offline Goal-Based Decision Transformers
- ICML 2025Ad-Hoc Human-AI Coordination Challenge
- ICML 2025Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
- ICML 2025Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
- ICML 2025ADDQ: Adaptive distributional double Q-learning
- ICML 2025AdvAgent: Controllable Blackbox Red-teaming on Web Agents
- ICML 2025Adversarial Inception Backdoor Attacks against Reinforcement Learning
- ICML 2025Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
- ICML 2025AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
- ICML 2025Aligned Multi Objective Optimization
- ICML 2025AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
- ICML 2025AlphaPO: Reward Shape Matters for LLM Alignment
- ICML 2025AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
- ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
- ICML 2025An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
- ICML 2025Analytical Lyapunov Function Discovery: An RL-based Generative Approach
- ICML 2025ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
- ICML 2025AssistanceZero: Scalably Solving Assistance Games
- ICML 2025AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
- ICML 2025Automatic Reward Shaping from Confounded Offline Data
- ICML 2025Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
- ICML 2025Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
- ICML 2025Behavioral Exploration: Learning to Explore via In-Context Adaptation
- ICML 2025Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
- ICML 2025Benchmarking Quantum Reinforcement Learning
- ICML 2025Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
- ICML 2025Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
- ICML 2025Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
- ICML 2025Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
- ICML 2025Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
- ICML 2025BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
- ICML 2025C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
- ICML 2025C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
- ICML 2025Calibrated Value-Aware Model Learning with Probabilistic Environment Models
- ICML 2025Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
- ICML 2025Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
- ICML 2025Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
- ICML 2025Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
- ICML 2025CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
- ICML 2025Chip Placement with Diffusion Models
- ICML 2025CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
- ICML 2025Clone-Robust AI Alignment
- ICML 2025Closed-form Solutions: A New Perspective on Solving Differential Equations
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。