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

2,079 papers, page 38 of 42

1851. ICML 2023Emergence of Sparse Representations from Noise
1852. ICML 2023Emergent Agentic Transformer from Chain of Hindsight Experience
1853. ICML 2023Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
1854. ICML 2023Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
1855. ICML 2023Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
1856. ICML 2023Estimation Beyond Data Reweighting: Kernel Method of Moments
1857. ICML 2023Explainable Data-Driven Optimization: From Context to Decision and Back Again
1858. ICML 2023Explaining Reinforcement Learning with Shapley Values
1859. ICML 2023Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
1860. ICML 2023Fair Densities via Boosting the Sufficient Statistics of Exponential Families
1861. ICML 2023Fair yet Asymptotically Equal Collaborative Learning
1862. ICML 2023Faith-Shap: The Faithful Shapley Interaction Index
1863. ICML 2023Fast Rates for Maximum Entropy Exploration
1864. ICML 2023Federated Online and Bandit Convex Optimization
1865. ICML 2023FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
1866. ICML 2023Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
1867. ICML 2023For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
1868. ICML 2023FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
1869. ICML 2023From Hypergraph Energy Functions to Hypergraph Neural Networks
1870. ICML 2023From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
1871. ICML 2023Fundamental Tradeoffs in Learning with Prior Information
1872. ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
1873. ICML 2023GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
1874. ICML 2023Go Beyond Imagination: Maximizing Episodic Reachability with World Models
1875. ICML 2023Graph Reinforcement Learning for Network Control via Bi-Level Optimization
1876. ICML 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
1877. ICML 2023Guiding Pretraining in Reinforcement Learning with Large Language Models
1878. ICML 2023Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
1879. ICML 2023Hierarchical Diffusion for Offline Decision Making
1880. ICML 2023Hierarchical Imitation Learning with Vector Quantized Models
1881. ICML 2023Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
1882. ICML 2023Hierarchies of Reward Machines
1883. ICML 2023Hindsight Learning for MDPs with Exogenous Inputs
1884. ICML 2023Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
1885. ICML 2023Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
1886. ICML 2023Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
1887. ICML 2023Human-Timescale Adaptation in an Open-Ended Task Space
1888. ICML 2023Hyperparameters in Reinforcement Learning and How To Tune Them
1889. ICML 2023Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
1890. ICML 2023Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
1891. ICML 2023Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques
1892. ICML 2023Individually Fair Learning with One-Sided Feedback
1893. ICML 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning
1894. ICML 2023Interactive Object Placement with Reinforcement Learning
1895. ICML 2023Internally Rewarded Reinforcement Learning
1896. ICML 2023Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
1897. ICML 2023Inverse Reinforcement Learning without Reinforcement Learning
1898. ICML 2023Investigating the Role of Model-Based Learning in Exploration and Transfer
1899. ICML 2023Jump-Start Reinforcement Learning
1900. ICML 2023Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning

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.