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

2,494 papers, page 44 of 50

2151. NeurIPS 2023Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
2152. NeurIPS 2023Elastic Decision Transformer
2153. NeurIPS 2023ELDEN: Exploration via Local Dependencies
2154. NeurIPS 2023Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
2155. NeurIPS 2023End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
2156. NeurIPS 2023Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
2157. NeurIPS 2023Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
2158. NeurIPS 2023Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
2159. NeurIPS 2023Explore to Generalize in Zero-Shot RL
2160. NeurIPS 2023Exponential Lower Bounds for Fictitious Play in Potential Games
2161. NeurIPS 2023Extracting Reward Functions from Diffusion Models
2162. NeurIPS 2023f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences
2163. NeurIPS 2023Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
2164. NeurIPS 2023Facing Off World Model Backbones: RNNs, Transformers, and S4
2165. NeurIPS 2023FAMO: Fast Adaptive Multitask Optimization
2166. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
2167. NeurIPS 2023Feature Learning for Interpretable, Performant Decision Trees
2168. NeurIPS 2023Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
2169. NeurIPS 2023Finding Safe Zones of Markov Decision Processes Policies
2170. NeurIPS 2023Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
2171. NeurIPS 2023Finite-Time Analysis of Single-Timescale Actor-Critic
2172. NeurIPS 2023First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
2173. NeurIPS 2023Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
2174. NeurIPS 2023Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
2175. NeurIPS 2023FlowPG: Action-constrained Policy Gradient with Normalizing Flows
2176. NeurIPS 2023For SALE: State-Action Representation Learning for Deep Reinforcement Learning
2177. NeurIPS 2023Fractal Landscapes in Policy Optimization
2178. NeurIPS 2023From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
2179. NeurIPS 2023Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
2180. NeurIPS 2023Game Solving with Online Fine-Tuning
2181. NeurIPS 2023General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
2182. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
2183. NeurIPS 2023Generating Behaviorally Diverse Policies with Latent Diffusion Models
2184. NeurIPS 2023Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
2185. NeurIPS 2023Generator Born from Classifier
2186. NeurIPS 2023Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
2187. NeurIPS 2023Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization
2188. NeurIPS 2023Goal-conditioned Offline Planning from Curious Exploration
2189. NeurIPS 2023Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
2190. NeurIPS 2023Gradient Informed Proximal Policy Optimization
2191. NeurIPS 2023Guide Your Agent with Adaptive Multimodal Rewards
2192. NeurIPS 2023Guiding Large Language Models via Directional Stimulus Prompting
2193. NeurIPS 2023H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
2194. NeurIPS 2023Harnessing the power of choices in decision tree learning
2195. NeurIPS 2023Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
2196. NeurIPS 2023Hierarchical Multi-Agent Skill Discovery
2197. NeurIPS 2023HIQL: Offline Goal-Conditioned RL with Latent States as Actions
2198. NeurIPS 2023Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
2199. NeurIPS 2023Honesty Is the Best Policy: Defining and Mitigating AI Deception
2200. NeurIPS 2023How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization

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.