强化学习论文趋势 2023–2026

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。

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 1,640 篇，第 3 / 33 页

101. ICLR 2025Aligning Visual Contrastive learning models via Preference Optimization
102. ICLR 2025An Evolved Universal Transformer Memory
103. ICLR 2025An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
104. ICLR 2025Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
105. ICLR 2025As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
106. ICLR 2025Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
107. ICLR 2025Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
108. ICLR 2025BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
109. ICLR 2025BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
110. ICLR 2025Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
111. ICLR 2025Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
112. ICLR 2025Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
113. ICLR 2025Bisimulation Metric for Model Predictive Control
114. ICLR 2025BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
115. ICLR 2025BodyGen: Advancing Towards Efficient Embodiment Co-Design
116. ICLR 2025BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
117. ICLR 2025BOND: Aligning LLMs with Best-of-N Distillation
118. ICLR 2025Bootstrapped Model Predictive Control
119. ICLR 2025Bootstrapping Language Models with DPO Implicit Rewards
120. ICLR 2025Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration
121. ICLR 2025BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
122. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
123. ICLR 2025Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
124. ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
125. ICLR 2025Circuit Transformer: A Transformer That Preserves Logical Equivalence
126. ICLR 2025CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
127. ICLR 2025COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
128. ICLR 2025Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
129. ICLR 2025ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
130. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
131. ICLR 2025Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
132. ICLR 2025Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
133. ICLR 2025Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
134. ICLR 2025ContraDiff: Planning Towards High Return States via Contrastive Learning
135. ICLR 2025Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
136. ICLR 2025Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
137. ICLR 2025Counterfactual Realizability
138. ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
139. ICLR 2025Cross-Embodiment Dexterous Grasping with Reinforcement Learning
140. ICLR 2025CycleResearcher: Improving Automated Research via Automated Review
141. ICLR 2025DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
142. ICLR 2025Data Center Cooling System Optimization Using Offline Reinforcement Learning
143. ICLR 2025Deep Networks Learn Features From Local Discontinuities in the Label Function
144. ICLR 2025DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
145. ICLR 2025DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
146. ICLR 2025DeLLMa: Decision Making Under Uncertainty with Large Language Models
147. ICLR 2025DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
148. ICLR 2025Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
149. ICLR 2025Diffusion Models Are Real-Time Game Engines
150. ICLR 2025Diffusion Policy Policy Optimization

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。