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 8 of 10

351. CVPR 2025Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos
352. CVPR 2025Structure-from-Motion with a Non-Parametric Camera Model
353. CVPR 2025Three-view Focal Length Recovery From Homographies
354. CVPR 2025Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
355. CVPR 2025Toward Robust Neural Reconstruction from Sparse Point Sets
356. CVPR 2025Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
357. CVPR 2025Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
358. CVPR 2025UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
359. CVPR 2025Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior
360. CVPR 2025Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation
361. CVPR 2025VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
362. CVPR 2025ViUniT: Visual Unit Tests for More Robust Visual Programming
363. CVPR 2025VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning
364. CVPR 2025VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction
365. CVPR 2025WildAvatar: Learning In-the-wild 3D Avatars from the Web
366. CVPR 20243DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images
367. CVPR 2024Active Object Detection with Knowledge Aggregation and Distillation from Large Models
368. CVPR 2024Activity-Biometrics: Person Identification from Daily Activities
369. CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
370. CVPR 2024An Interactive Navigation Method with Effect-oriented Affordance
371. CVPR 2024Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
372. CVPR 2024Authentic Hand Avatar from a Phone Scan via Universal Hand Model
373. CVPR 2024Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
374. CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
375. CVPR 2024Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
376. CVPR 2024ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
377. CVPR 2024Detector-Free Structure from Motion
378. CVPR 2024Diffusion Model Alignment Using Direct Preference Optimization
379. CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
380. CVPR 2024Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
381. CVPR 2024DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
382. CVPR 2024Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
383. CVPR 2024Dynamic Prompt Optimizing for Text-to-Image Generation
384. CVPR 2024EgoGen: An Egocentric Synthetic Data Generator
385. CVPR 2024Ensemble Diversity Facilitates Adversarial Transferability
386. CVPR 2024Event-based Structure-from-Orbit
387. CVPR 2024From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
388. CVPR 2024From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
389. CVPR 2024Gated Fields: Learning Scene Reconstruction from Gated Videos
390. CVPR 2024GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
391. CVPR 2024Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
392. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
393. CVPR 2024Insights from the Use of Previously Unseen Neural Architecture Search Datasets
394. CVPR 2024IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
395. CVPR 2024Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
396. CVPR 2024Lane2Seq: Towards Unified Lane Detection via Sequence Generation
397. CVPR 2024Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
398. CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
399. CVPR 2024Learning to Select Views for Efficient Multi-View Understanding
400. CVPR 2024Learning to Transform Dynamically for Better Adversarial Transferability

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.