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

6,885 papers, page 94 of 138

4651. CVPR 2024Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
4652. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
4653. CVPR 2024Insights from the Use of Previously Unseen Neural Architecture Search Datasets
4654. CVPR 2024IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
4655. CVPR 2024Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
4656. CVPR 2024Lane2Seq: Towards Unified Lane Detection via Sequence Generation
4657. CVPR 2024Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
4658. CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
4659. CVPR 2024Learning to Select Views for Efficient Multi-View Understanding
4660. CVPR 2024Learning to Transform Dynamically for Better Adversarial Transferability
4661. CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
4662. CVPR 2024LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
4663. CVPR 2024Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
4664. CVPR 2024Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
4665. CVPR 2024MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
4666. CVPR 2024MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
4667. CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
4668. CVPR 2024OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
4669. CVPR 2024PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
4670. CVPR 2024POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
4671. CVPR 2024Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
4672. CVPR 2024PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
4673. CVPR 2024Previously on ... From Recaps to Story Summarization
4674. CVPR 2024Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
4675. CVPR 2024Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
4676. CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
4677. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
4678. CVPR 2024RepViT: Revisiting Mobile CNN From ViT Perspective
4679. CVPR 2024Rich Human Feedback for Text-to-Image Generation
4680. CVPR 2024RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
4681. CVPR 2024Robust Self-calibration of Focal Lengths from the Fundamental Matrix
4682. CVPR 2024Selective Nonlinearities Removal from Digital Signals
4683. CVPR 2024Small Scale Data-Free Knowledge Distillation
4684. CVPR 2024SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
4685. CVPR 2024SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
4686. CVPR 2024Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
4687. CVPR 2024Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
4688. CVPR 2024Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
4689. CVPR 2024WANDR: Intention-guided Human Motion Generation
4690. ICLR 2024$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
4691. ICLR 2024$\pi$2vec: Policy Representation with Successor Features
4692. ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
4693. ICLR 2024A Dynamical View of the Question of Why
4694. ICLR 2024A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
4695. ICLR 2024A Policy Gradient Method for Confounded POMDPs
4696. ICLR 2024Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
4697. ICLR 2024Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
4698. ICLR 2024Active Retrosynthetic Planning Aware of Route Quality
4699. ICLR 2024Adaptive Rational Activations to Boost Deep Reinforcement Learning
4700. ICLR 2024Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation

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.