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 117 of 138

5801. NeurIPS 2024Verifiably Robust Conformal Prediction
5802. NeurIPS 2024Verified Safe Reinforcement Learning for Neural Network Dynamic Models
5803. NeurIPS 2024Vision-Language Navigation with Energy-Based Policy
5804. NeurIPS 2024Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
5805. NeurIPS 2024WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
5806. NeurIPS 2024When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
5807. NeurIPS 2024When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
5808. NeurIPS 2024When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
5809. NeurIPS 2024WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena
5810. NeurIPS 2024WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
5811. NeurIPS 2024Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
5812. NeurIPS 2024Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
5813. NeurIPS 2024XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
5814. NeurIPS 2024Zero-Shot Reinforcement Learning from Low Quality Data
5815. NeurIPS 2024ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
5816. CVPR 2023"Seeing" Electric Network Frequency From Events
5817. CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
5818. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
5819. CVPR 2023All-in-Focus Imaging From Event Focal Stack
5820. CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
5821. CVPR 2023Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
5822. CVPR 2023Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
5823. CVPR 2023Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
5824. CVPR 2023Coaching a Teachable Student
5825. CVPR 2023Decoupling Human and Camera Motion From Videos in the Wild
5826. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
5827. CVPR 2023DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects
5828. CVPR 2023Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
5829. CVPR 2023Dynamic Inference With Grounding Based Vision and Language Models
5830. CVPR 2023DynamicStereo: Consistent Dynamic Depth From Stereo Videos
5831. CVPR 2023Event-Based Shape From Polarization
5832. CVPR 2023Extracting Class Activation Maps From Non-Discriminative Features As Well
5833. CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
5834. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
5835. CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
5836. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
5837. CVPR 2023Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
5838. CVPR 2023High-Res Facial Appearance Capture From Polarized Smartphone Images
5839. CVPR 2023How To Prevent the Continuous Damage of Noises To Model Training?
5840. CVPR 2023IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients
5841. CVPR 2023Imitation Learning As State Matching via Differentiable Physics
5842. CVPR 2023Independent Component Alignment for Multi-Task Learning
5843. CVPR 2023Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
5844. CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
5845. CVPR 2023Learning Human-to-Robot Handovers From Point Clouds
5846. CVPR 2023Learning Optical Expansion From Scale Matching
5847. CVPR 2023Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos
5848. CVPR 2023Learning To Detect Mirrors From Videos via Dual Correspondences
5849. CVPR 2023Learning To Render Novel Views From Wide-Baseline Stereo Pairs
5850. CVPR 2023Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces

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.