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

56 papers, page 1 of 2

1. CVPR 2023"Seeing" Electric Network Frequency From Events
2. CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
3. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
4. CVPR 2023All-in-Focus Imaging From Event Focal Stack
5. CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
6. CVPR 2023Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
7. CVPR 2023Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
8. CVPR 2023Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
9. CVPR 2023Coaching a Teachable Student
10. CVPR 2023Decoupling Human and Camera Motion From Videos in the Wild
11. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
12. CVPR 2023DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects
13. CVPR 2023Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
14. CVPR 2023Dynamic Inference With Grounding Based Vision and Language Models
15. CVPR 2023DynamicStereo: Consistent Dynamic Depth From Stereo Videos
16. CVPR 2023Event-Based Shape From Polarization
17. CVPR 2023Extracting Class Activation Maps From Non-Discriminative Features As Well
18. CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
19. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
20. CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
21. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
22. CVPR 2023Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
23. CVPR 2023High-Res Facial Appearance Capture From Polarized Smartphone Images
24. CVPR 2023How To Prevent the Continuous Damage of Noises To Model Training?
25. CVPR 2023IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients
26. CVPR 2023Imitation Learning As State Matching via Differentiable Physics
27. CVPR 2023Independent Component Alignment for Multi-Task Learning
28. CVPR 2023Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
29. CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
30. CVPR 2023Learning Human-to-Robot Handovers From Point Clouds
31. CVPR 2023Learning Optical Expansion From Scale Matching
32. CVPR 2023Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos
33. CVPR 2023Learning To Detect Mirrors From Videos via Dual Correspondences
34. CVPR 2023Learning To Render Novel Views From Wide-Baseline Stereo Pairs
35. CVPR 2023Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces
36. CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
37. CVPR 2023Multi-Agent Automated Machine Learning
38. CVPR 2023Neural Dependencies Emerging From Learning Massive Categories
39. CVPR 2023OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields
40. CVPR 2023PersonNeRF: Personalized Reconstruction From Photo Collections
41. CVPR 2023PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
42. CVPR 2023PointAvatar: Deformable Point-Based Head Avatars From Videos
43. CVPR 2023PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
44. CVPR 2023Re-Basin via Implicit Sinkhorn Differentiation
45. CVPR 2023REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos
46. CVPR 2023Reconstructing Animatable Categories From Videos
47. CVPR 2023Reinforcement Learning-Based Black-Box Model Inversion Attacks
48. CVPR 2023Rethinking Optical Flow From Geometric Matching Consistent Perspective
49. CVPR 2023Search-Map-Search: A Frame Selection Paradigm for Action Recognition
50. CVPR 2023Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography

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.