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 75 / 138 页
- ICML 2025Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints
- ICML 2025Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
- ICML 2025Policy-labeled Preference Learning: Is Preference Enough for RLHF?
- ICML 2025Policy-Regret Minimization in Markov Games with Function Approximation
- ICML 2025Polynomial-Time Approximability of Constrained Reinforcement Learning
- ICML 2025Position: Constants are Critical in Regret Bounds for Reinforcement Learning
- ICML 2025Position: General Intelligence Requires Reward-based Pretraining
- ICML 2025Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
- ICML 2025Position: Lifetime tuning is incompatible with continual reinforcement learning
- ICML 2025Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
- ICML 2025Position: We Need An Algorithmic Understanding of Generative AI
- ICML 2025Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
- ICML 2025Preference Adaptive and Sequential Text-to-Image Generation
- ICML 2025Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
- ICML 2025Preference Optimization for Combinatorial Optimization Problems
- ICML 2025Private Federated Learning using Preference-Optimized Synthetic Data
- ICML 2025Progressively Label Enhancement for Large Language Model Alignment
- ICML 2025Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF
- ICML 2025Proto Successor Measure: Representing the Behavior Space of an RL Agent
- ICML 2025Provable Maximum Entropy Manifold Exploration via Diffusion Models
- ICML 2025Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity
- ICML 2025Provable Zero-Shot Generalization in Offline Reinforcement Learning
- ICML 2025Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
- ICML 2025Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
- ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
- ICML 2025QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
- ICML 2025Quantum Algorithms for Finite-horizon Markov Decision Processes
- ICML 2025Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
- ICML 2025R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
- ICML 2025R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning
- ICML 2025Random Policy Evaluation Uncovers Policies of Generative Flow Networks
- ICML 2025Rank-One Modified Value Iteration
- ICML 2025Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
- ICML 2025Regret-Free Reinforcement Learning for Temporal Logic Specifications
- ICML 2025Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
- ICML 2025ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
- ICML 2025REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
- ICML 2025Reinforce LLM Reasoning through Multi-Agent Reflection
- ICML 2025Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
- ICML 2025Reinforced Lifelong Editing for Language Models
- ICML 2025Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator
- ICML 2025Reinforcement Learning for Quantum Control under Physical Constraints
- ICML 2025Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
- ICML 2025Reinforcement Learning with Random Time Horizons
- ICML 2025Reinforcement Learning with Segment Feedback
- ICML 2025Rejecting Hallucinated State Targets during Planning
- ICML 2025Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
- ICML 2025Return Capping: Sample Efficient CVaR Policy Gradient Optimisation
- ICML 2025ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
- ICML 2025Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
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。