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 93 of 138

4601. NeurIPS 2025VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
4602. NeurIPS 2025VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
4603. NeurIPS 2025VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
4604. NeurIPS 2025Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
4605. NeurIPS 2025VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
4606. NeurIPS 2025VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
4607. NeurIPS 2025WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
4608. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
4609. NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
4610. NeurIPS 2025What do you know? Bayesian knowledge inference for navigating agents
4611. NeurIPS 2025What Makes a Reward Model a Good Teacher? An Optimization Perspective
4612. NeurIPS 2025WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
4613. NeurIPS 2025When Can Model-Free Reinforcement Learning be Enough for Thinking?
4614. NeurIPS 2025When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
4615. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
4616. NeurIPS 2025When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
4617. NeurIPS 2025Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints
4618. NeurIPS 2025Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
4619. NeurIPS 2025World Models as Reference Trajectories for Rapid Motor Adaptation
4620. NeurIPS 2025World-aware Planning Narratives Enhance Large Vision-Language Model Planner
4621. NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
4622. NeurIPS 2025Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
4623. NeurIPS 2025Zero-shot World Models via Search in Memory
4624. NeurIPS 2025Zeroth-Order Optimization Finds Flat Minima
4625. NeurIPS 2025Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs
4626. CVPR 20243DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images
4627. CVPR 2024Active Object Detection with Knowledge Aggregation and Distillation from Large Models
4628. CVPR 2024Activity-Biometrics: Person Identification from Daily Activities
4629. CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
4630. CVPR 2024An Interactive Navigation Method with Effect-oriented Affordance
4631. CVPR 2024Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
4632. CVPR 2024Authentic Hand Avatar from a Phone Scan via Universal Hand Model
4633. CVPR 2024Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
4634. CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
4635. CVPR 2024Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
4636. CVPR 2024ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
4637. CVPR 2024Detector-Free Structure from Motion
4638. CVPR 2024Diffusion Model Alignment Using Direct Preference Optimization
4639. CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
4640. CVPR 2024Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
4641. CVPR 2024DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
4642. CVPR 2024Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
4643. CVPR 2024Dynamic Prompt Optimizing for Text-to-Image Generation
4644. CVPR 2024EgoGen: An Egocentric Synthetic Data Generator
4645. CVPR 2024Ensemble Diversity Facilitates Adversarial Transferability
4646. CVPR 2024Event-based Structure-from-Orbit
4647. CVPR 2024From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
4648. CVPR 2024From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
4649. CVPR 2024Gated Fields: Learning Scene Reconstruction from Gated Videos
4650. CVPR 2024GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction

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.