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 13 / 138 页
- ICLR 2026Glance and Focus Reinforcement for Pan-cancer Screening
- ICLR 2026Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
- ICLR 2026Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
- ICLR 2026GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
- ICLR 2026Good allocations from bad estimates
- ICLR 2026GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning
- ICLR 2026GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning
- ICLR 2026GPS: Directed Acyclic Graph guided Proactive Information Seeking in Large Language Models
- ICLR 2026GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
- ICLR 2026GRACE: Generative Representation Learning via Contrastive Policy Optimization
- ICLR 2026Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance
- ICLR 2026GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks
- ICLR 2026GraphPlanner: Graph-Based Agentic Routing for LLMs
- ICLR 2026GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments
- ICLR 2026Grounding Computer Use Agents on Human Demonstrations
- ICLR 2026Group Critical-token Policy Optimization for Autoregressive Image Generation
- ICLR 2026Group Verification-based Policy Optimization for Interactive Coding Agents
- ICLR 2026Group-Normalized Implicit Value Optimization for Language Models
- ICLR 2026Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends
- ICLR 2026GTA1: GUI Test-time Scaling Agent
- ICLR 2026GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning
- ICLR 2026Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
- ICLR 2026Guided Policy Optimization under Partial Observability
- ICLR 2026GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning
- ICLR 2026Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
- ICLR 2026Hallucination Begins Where Saliency Drops
- ICLR 2026Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
- ICLR 2026HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithimic Coding
- ICLR 2026Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving
- ICLR 2026Heterogeneous Agent Q-weighted Policy Optimization
- ICLR 2026Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
- ICLR 2026Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control
- ICLR 2026Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
- ICLR 2026HiPO: Self-Hint Policy Optimization for RLVR
- ICLR 2026HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
- ICLR 2026Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models
- ICLR 2026How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
- ICLR 2026How Far Can Unsupervised RLVR Scale LLM Training?
- ICLR 2026How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective
- ICLR 2026How reinforcement learning after next-token prediction facilitates learning
- ICLR 2026How to Lose Inherent Counterfactuality in Reinforcement Learning
- ICLR 2026Human-AI Curation Synergy: Scaling Preference Data Curation via Human-Guided AI Feedback
- ICLR 2026Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy
- ICLR 2026HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion
- ICLR 2026Hybrid Reinforcement: when reward is sparse, better to be dense
- ICLR 2026Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
- ICLR 2026I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data
- ICLR 2026ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
- ICLR 2026Imitation Learning as Return Distribution Matching
- ICLR 2026Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization
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。