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 379 篇，第 5 / 8 页
- ICLR 2025MallowsPO: Fine-Tune Your LLM with Preference Dispersions
- ICLR 2025ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
- ICLR 2025MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
- ICLR 2025MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
- ICLR 2025Measuring And Improving Engagement of Text-to-Image Generation Models
- ICLR 2025Measuring memorization in RLHF for code completion
- ICLR 2025MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
- ICLR 2025Minimax Optimal Reinforcement Learning with Quasi-Optimism
- ICLR 2025Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
- ICLR 2025Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
- ICLR 2025Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
- ICLR 2025Model Risk-sensitive Offline Reinforcement Learning
- ICLR 2025Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
- ICLR 2025Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
- ICLR 2025Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
- ICLR 2025Model-Free Offline Reinforcement Learning with Enhanced Robustness
- ICLR 2025Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
- ICLR 2025Monte Carlo Planning with Large Language Model for Text-Based Game Agents
- ICLR 2025Moral Alignment for LLM Agents
- ICLR 2025More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
- ICLR 2025Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
- ICLR 2025Multi-agent cooperation through learning-aware policy gradients
- ICLR 2025Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
- ICLR 2025Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
- ICLR 2025Neural Interactive Proofs
- ICLR 2025Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
- ICLR 2025Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL
- ICLR 2025Neuroplastic Expansion in Deep Reinforcement Learning
- ICLR 2025Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
- ICLR 2025Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
- ICLR 2025Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
- ICLR 2025OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
- ICLR 2025ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
- ICLR 2025Offline Hierarchical Reinforcement Learning via Inverse Optimization
- ICLR 2025Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
- ICLR 2025Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
- ICLR 2025OGBench: Benchmarking Offline Goal-Conditioned RL
- ICLR 2025OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
- ICLR 2025On a Connection Between Imitation Learning and RLHF
- ICLR 2025On Generalization Across Environments In Multi-Objective Reinforcement Learning
- ICLR 2025On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
- ICLR 2025On Rollouts in Model-Based Reinforcement Learning
- ICLR 2025On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
- ICLR 2025On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
- ICLR 2025On the Modeling Capabilities of Large Language Models for Sequential Decision Making
- ICLR 2025On-the-fly Preference Alignment via Principle-Guided Decoding
- ICLR 2025Online Preference Alignment for Language Models via Count-based Exploration
- ICLR 2025Online Reinforcement Learning in Non-Stationary Context-Driven Environments
- ICLR 2025Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
- ICLR 2025Online-to-Offline RL for Agent Alignment
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。