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

293 papers, page 6 of 6

251. CVPR 2026Talk2Move Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes
252. CVPR 2026Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion
253. CVPR 2026TaskForce Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization
254. CVPR 2026TempR1 Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement
255. CVPR 2026The Image as Its Own Reward Reinforcement Learning with Adversarial
256. CVPR 2026The Missing GAP From Solving Square Jigsaw Puzzles to Handling
257. CVPR 2026ThinkGen Generalized Thinking for Visual Generation
258. CVPR 2026Thinking with Drafts Speculative Temporal Reasoning for Efficient Long Video
259. CVPR 2026Thinking with Frames Generative Video Distortion Evaluation via Frame Reward
260. CVPR 2026Thinking with Programming Vision Towards a Unified View for Thinking
261. CVPR 2026Thinking With Videos Multimodal Tool-Augmented Reinforcement Learning for Long Video
262. CVPR 2026Thinking-while-Generating Interleaving Textual Reasoning throughout Visual Generation
263. CVPR 2026TimeLens Rethinking Video Temporal Grounding with Multimodal LLMs
264. CVPR 2026Token Warping Helps MLLMs Look from Nearby Viewpoints
265. CVPR 2026Towards Policy-Adaptive Image Guardrail Benchmark and Method
266. CVPR 2026Training High-Level Schedulers with Execution-Feedback Reinforcement Learning for Long-Horizon GUI
267. CVPR 2026TSTM Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning
268. CVPR 2026TTRV Test-Time Reinforcement Learning for Vision Language Models
269. CVPR 2026Tutor-Student Reinforcement Learning A Dynamic Curriculum for Robust Deepfake Detection
270. CVPR 2026UIKA Fast Universal Head Avatar from Pose-Free Images
271. CVPR 2026Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal
272. CVPR 2026Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled
273. CVPR 2026Unified Multimodal Models as Auto-Encoders
274. CVPR 2026Unified Spherical Frontend Learning Rotation-Equivariant Representations of Spherical Images from
275. CVPR 2026UniGen-1.5 Enhancing Image Generation and Editing through Reward Unification in
276. CVPR 2026Unique Lives Shared World Learning from Single-Life Videos
277. CVPR 2026Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from
278. CVPR 2026Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy
279. CVPR 2026VAR RL Done Right Tackling Asynchronous Policy Conflicts in Visual
280. CVPR 2026VAST Video Ability-Stratified Taxonomy for Data-Efficient Video Reasoning
281. CVPR 2026VesMamba 3D Pulmonary Vessel Segmentation from CT images via Mamba
282. CVPR 2026Video-as-Answer Predict and Generate Next Video Event with Joint-GRPO
283. CVPR 2026VideoChat-M1 Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement
284. CVPR 2026VideoSSR Video Self-Supervised Reinforcement Learning
285. CVPR 2026VisionLeaf Entropy-Guided Leaf-First Reasoning for Efficient and Accurate Think-with-Image
286. CVPR 2026VisPlay Self-Evolving Vision-Language Models
287. CVPR 2026VisRef Visual Refocusing while Thinking Improves Test-Time Scaling in Multi-Modal
288. CVPR 2026VOLD Reasoning Transfer from LLMs to Vision-Language Models via On-Policy
289. CVPR 2026W2W Language-Model-Based Trajectory Prediction with Reinforcement Learning
290. CVPR 2026WebGym Scaling Training Environments for Long-Horizon Visual Web Agents with
291. CVPR 2026When Do Models Actually Decide Mapping the Layer-Wise Decision Timeline
292. CVPR 2026Why Does RL Generalize Better Than SFT A Data-Centric Perspective
293. CVPR 2026Write Where It Matters Policy-Guided Watermarks for 3D Gaussian Splatting

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.