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 9 of 10

401. CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
402. CVPR 2024LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
403. CVPR 2024Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
404. CVPR 2024Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
405. CVPR 2024MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
406. CVPR 2024MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
407. CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
408. CVPR 2024OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
409. CVPR 2024PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
410. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
411. CVPR 2024Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
412. CVPR 2024PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
413. CVPR 2024Previously on ... From Recaps to Story Summarization
414. CVPR 2024Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
415. CVPR 2024Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
416. CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
417. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
418. CVPR 2024RepViT: Revisiting Mobile CNN From ViT Perspective
419. CVPR 2024Rich Human Feedback for Text-to-Image Generation
420. CVPR 2024RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
421. CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
422. CVPR 2024Selective Nonlinearities Removal from Digital Signals
423. CVPR 2024Small Scale Data-Free Knowledge Distillation
424. CVPR 2024SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
425. CVPR 2024SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
426. CVPR 2024Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
427. CVPR 2024Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
428. CVPR 2024Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
429. CVPR 2024WANDR: Intention-guided Human Motion Generation
430. CVPR 2023"Seeing" Electric Network Frequency From Events
431. CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
432. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
433. CVPR 2023All-in-Focus Imaging From Event Focal Stack
434. CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
435. CVPR 2023Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
436. CVPR 2023Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
437. CVPR 2023Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
438. CVPR 2023Coaching a Teachable Student
439. CVPR 2023Decoupling Human and Camera Motion From Videos in the Wild
440. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
441. CVPR 2023DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects
442. CVPR 2023Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
443. CVPR 2023Dynamic Inference With Grounding Based Vision and Language Models
444. CVPR 2023DynamicStereo: Consistent Dynamic Depth From Stereo Videos
445. CVPR 2023Event-Based Shape From Polarization
446. CVPR 2023Extracting Class Activation Maps From Non-Discriminative Features As Well
447. CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
448. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
449. CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
450. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second

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.