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

784 papers, page 16 of 16

751. NeurIPS 2025VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
752. NeurIPS 2025VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
753. NeurIPS 2025VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
754. NeurIPS 2025Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
755. NeurIPS 2025VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
756. NeurIPS 2025Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
757. NeurIPS 2025VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
758. NeurIPS 2025VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
759. NeurIPS 2025VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
760. NeurIPS 2025VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
761. NeurIPS 2025VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
762. NeurIPS 2025VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
763. NeurIPS 2025Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
764. NeurIPS 2025VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
765. NeurIPS 2025VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
766. NeurIPS 2025WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
767. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
768. NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
769. NeurIPS 2025What do you know? Bayesian knowledge inference for navigating agents
770. NeurIPS 2025What Makes a Reward Model a Good Teacher? An Optimization Perspective
771. NeurIPS 2025WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
772. NeurIPS 2025When Can Model-Free Reinforcement Learning be Enough for Thinking?
773. NeurIPS 2025When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
774. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
775. NeurIPS 2025When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
776. NeurIPS 2025Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints
777. NeurIPS 2025Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
778. NeurIPS 2025World Models as Reference Trajectories for Rapid Motor Adaptation
779. NeurIPS 2025World-aware Planning Narratives Enhance Large Vision-Language Model Planner
780. NeurIPS 2025Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
781. NeurIPS 2025Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
782. NeurIPS 2025Zero-shot World Models via Search in Memory
783. NeurIPS 2025Zeroth-Order Optimization Finds Flat Minima
784. NeurIPS 2025Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

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.