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 7 / 138 页
- ICLR 2026A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
- ICLR 2026A Unifying View of Coverage in Linear Off-policy Evaluation
- ICLR 2026A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning
- ICLR 2026AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
- ICLR 2026Accelerated co-design of robots through morphological pretraining
- ICLR 2026Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
- ICLR 2026Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
- ICLR 2026AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
- ICLR 2026Achieving Expert-Level Agent from Foundation Model via Complexity Curriculum Reinforcement Learning with Synthetic Data
- ICLR 2026Action-Free Offline-To-Online RL via Discretised State Policies
- ICLR 2026Activation Function Design Sustains Plasticity in Continual Learning
- ICLR 2026Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
- ICLR 2026Adaptive Conformal Guidance for Learning under Uncertainty
- ICLR 2026Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
- ICLR 2026Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
- ICLR 2026AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
- ICLR 2026ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and Evaluation
- ICLR 2026Aegis: Automated Error Generation and Identification for Multi-Agent Systems
- ICLR 2026AesCoder: Code Aesthetics with Agentic Reward Feedback
- ICLR 2026AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
- ICLR 2026Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
- ICLR 2026Agentic Reinforced Policy Optimization
- ICLR 2026Agentic Reinforcement Learning with Implicit Step Rewards
- ICLR 2026AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
- ICLR 2026AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement Learning
- ICLR 2026AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
- ICLR 2026Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning Environment
- ICLR 2026Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets
- ICLR 2026Aligning Deep Implicit Preferences by Learning to Reason Defensively
- ICLR 2026Alignment-Weighted DPO: A principled reasoning approach to improve alignment
- ICLR 2026All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
- ICLR 2026AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning
- ICLR 2026AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
- ICLR 2026AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
- ICLR 2026AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
- ICLR 2026An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs
- ICLR 2026An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
- ICLR 2026Analysis of approximate linear programming solution to Markov decision problem with log barrier function
- ICLR 2026Anchored Supervised Fine-Tuning
- ICLR 2026AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs
- ICLR 2026APC-RL: Exceeding data-driven behavior priors with adaptive policy composition
- ICLR 2026APPLE: Toward General Active Perception via Reinforcement Learning
- ICLR 2026ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning
- ICLR 2026ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
- ICLR 2026ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning
- ICLR 2026Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
- ICLR 2026Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning
- ICLR 2026ATGen: Adversarial Reinforcement Learning for Test Case Generation
- ICLR 2026ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDICAL DIALOGUE
- ICLR 2026Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
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。