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 21 / 138 页
- ICLR 2026Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
- ICLR 2026Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
- ICLR 2026Self-Aligned Reward: Towards Effective and Efficient Reasoners
- ICLR 2026Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
- ICLR 2026SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING
- ICLR 2026Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning
- ICLR 2026Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
- ICLR 2026Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization
- ICLR 2026SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
- ICLR 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
- ICLR 2026SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
- ICLR 2026Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates
- ICLR 2026Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
- ICLR 2026Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View
- ICLR 2026Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
- ICLR 2026SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
- ICLR 2026SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
- ICLR 2026Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents
- ICLR 2026Single-stream Policy Optimization
- ICLR 2026SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
- ICLR 2026SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models
- ICLR 2026Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
- ICLR 2026SkillFactory: Self-Distillation for Learning Cognitive Behaviors
- ICLR 2026Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
- ICLR 2026SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
- ICLR 2026Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping
- ICLR 2026SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
- ICLR 2026Soft Tokens, Hard Truths
- ICLR 2026Solving Football by Exploiting Equilibrium Structure of 2p0s Differential Games with One-Sided Information
- ICLR 2026Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning
- ICLR 2026Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
- ICLR 2026SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
- ICLR 2026SPACeR: Self-Play Anchoring with Centralized Reference Models
- ICLR 2026Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
- ICLR 2026SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
- ICLR 2026SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
- ICLR 2026Spectral Bellman Method: Unifying Representation and Exploration in RL
- ICLR 2026SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
- ICLR 2026SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
- ICLR 2026SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
- ICLR 2026SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
- ICLR 2026SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
- ICLR 2026Spotlight on Token Perception for Multimodal Reinforcement Learning
- ICLR 2026Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model
- ICLR 2026SR-Scientist: Scientific Equation Discovery With Agentic AI
- ICLR 2026SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
- ICLR 2026SSVPO: Effective Step-Level Credit Assignment for RL Training of Language Models
- ICLR 2026Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
- ICLR 2026Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
- ICLR 2026Stackelberg Coupling of Online Representation Learning and 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。