Reinforcement Learning papers, 2023–2026

Key findings

• Reinforcement Learning went from 1,070 papers in 2023 to 2,985 in 2026, roughly 2.8x in three years.
• NeurIPS publishes the most Reinforcement Learning work: 2,494 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Reasoning Models: papers tagged with both rose from 9 in 2023 to 437 in 2026.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Reinforcement Learning papers

485 papers, page 5 of 10

201. CVPR 2026Reliable Clustering Number Estimation for Contrastive Multi-View Clustering
202. CVPR 2026Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement
203. CVPR 2026ReMoGen Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse
204. CVPR 2026ReMoT Reinforcement Learning with Motion Contrast Triplets
205. CVPR 2026Resolving the Identity Crisis in Text-to-Image Generation
206. CVPR 2026Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual
207. CVPR 2026Rethinking 2D-3D Registration A Novel Network for High-Value Zone Selection
208. CVPR 2026RetouchIQ MLLM Agents for Instruction-Based Image Retouching with Generalist Reward
209. CVPR 2026REVISOR Beyond Textual Reflection Towards Multimodal Introspective Reasoning in Long-Form
210. CVPR 2026Reward Sharpness-Aware Fine-Tuning for Diffusion Models
211. CVPR 2026RL-ScanIQA Reinforcement-Learned Scanpaths for Blind 360deg Image Quality Assessment
212. CVPR 2026RLFTSim Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning
213. CVPR 2026RoboAgent Chaining Basic Capabilities for Embodied Task Planning
214. CVPR 2026RoboWheel A Data Engine from Real-World Human Demonstrations for Cross-Embodiment
215. CVPR 2026RunawayEvil Jailbreaking the Image-to-Video Generative Models
216. CVPR 2026SafeGRPO Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
217. CVPR 2026Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement
218. CVPR 2026SAMIX Reinforcing SAM2 with Semantic Adapter and Reference Selecting Policy
219. CVPR 2026SAMTok Representing Any Mask with Two Words
220. CVPR 2026SARL-STG A Spatially Aware Reinforcement Learning Framework for Refining MLLMs
221. CVPR 2026Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
222. CVPR 2026SEBA Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
223. CVPR 2026See Further Think Deeper Advancing VLMs Reasoning Ability with Low-level
224. CVPR 2026See It Say It Sorted An Iterative Training-Free Framework for
225. CVPR 2026Seeing is Improving Visual Feedback for Iterative Text Layout Refinement
226. CVPR 2026Seeing What Matters Visual Preference Policy Optimization for Visual Generation
227. CVPR 2026Seeing without Pixels Perception from Camera Trajectories
228. CVPR 2026SegCompass Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning
229. CVPR 2026Select Less Reason More Prioritizing Evidence Purity for Video Reasoning
230. CVPR 2026SemVideo Reconstructs What You Watch from Brain Activity via Hierarchical
231. CVPR 2026SenseSearch Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement
232. CVPR 2026ShadowDraw From Any Object to Shadow-Drawing Compositional Art
233. CVPR 2026SimRecon SimReady Compositional Scene Reconstruction from Real Videos
234. CVPR 2026SketchVL Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding
235. CVPR 2026SocialNav Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
236. CVPR 2026SpaceTools Tool-Augmented Spatial Reasoning via Double Interactive RL
237. CVPR 2026SparseCam4D Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras
238. CVPR 2026Spatial-SSRL Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
239. CVPR 2026SpatialReward Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in
240. CVPR 2026Specificity-aware reinforcement learning for fine-grained open-world classification
241. CVPR 2026Spectrum from Defocus Fast Spectral Imaging with Chromatic Focal Stack
242. CVPR 2026SpiderCam Low-Power Snapshot Depth from Differential Defocus
243. CVPR 2026Splat-Based Metal Artifact Reduction in Cone-Beam CT via Compact Attenuation
244. CVPR 2026SRPO Self-Referential Policy Optimization for Vision-Language-Action Models
245. CVPR 2026Stable and Efficient Single-Rollout RL for Multimodal Reasoning
246. CVPR 2026STAR-R1 Multi-View Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
247. CVPR 2026Stepwise Credit Assignment for GRPO on Flow-Matching Models
248. CVPR 2026Style-GRPO Semantic-Aware Preference Optimization for Image Style Transfer Guided by
249. CVPR 2026StyleDoctor Towards Specialist Reward Model for Style-centric Generation Tasks
250. CVPR 2026Synthetic Curriculum Reinforces Compositional Text-to-Image Generation

FAQ

How many Reinforcement Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,885 in total: 1,070 in 2023, 1,190 in 2024, 1,640 in 2025, 2,985 in 2026.

How many Reinforcement Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 760 Reinforcement Learning papers, versus 784 the year before.

How many Reinforcement Learning papers are at ICLR 2026?

ICLR 2026 has 911 Reinforcement Learning papers, versus 379 the year before.

How many Reinforcement Learning papers are at ICML 2026?

ICML 2026 has 1,021 Reinforcement Learning papers, versus 405 the year before.

How many Reinforcement Learning papers are at CVPR 2026?

CVPR 2026 has 293 Reinforcement Learning papers, versus 72 the year before.

Which conference publishes the most Reinforcement Learning papers?

NeurIPS, with 2,494 papers from 2023 to 2026.