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

1,827 papers, page 28 of 37

1351. ICLR 2024Demonstration-Regularized RL
1352. ICLR 2024Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
1353. ICLR 2024Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
1354. ICLR 2024Detecting Pretraining Data from Large Language Models
1355. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
1356. ICLR 2024Directly Fine-Tuning Diffusion Models on Differentiable Rewards
1357. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
1358. ICLR 2024Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
1359. ICLR 2024DittoGym: Learning to Control Soft Shape-Shifting Robots
1360. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
1361. ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
1362. ICLR 2024Domain Randomization via Entropy Maximization
1363. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
1364. ICLR 2024DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
1365. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
1366. ICLR 2024Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
1367. ICLR 2024Dynamic Layer Tying for Parameter-Efficient Transformers
1368. ICLR 2024Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
1369. ICLR 2024Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
1370. ICLR 2024Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
1371. ICLR 2024Efficient Inverse Multiagent Learning
1372. ICLR 2024Efficient Multi-agent Reinforcement Learning by Planning
1373. ICLR 2024Efficient Planning with Latent Diffusion
1374. ICLR 2024Enabling Lanuguage Models to Implicitly Learn Self-Improvement
1375. ICLR 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
1376. ICLR 2024Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
1377. ICLR 2024Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
1378. ICLR 2024Eureka: Human-Level Reward Design via Coding Large Language Models
1379. ICLR 2024Explaining Kernel Clustering via Decision Trees
1380. ICLR 2024Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
1381. ICLR 2024Exploring the Promise and Limits of Real-Time Recurrent Learning
1382. ICLR 2024Fast Hyperboloid Decision Tree Algorithms
1383. ICLR 2024Fast Imitation via Behavior Foundation Models
1384. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
1385. ICLR 2024Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
1386. ICLR 2024Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
1387. ICLR 2024First-order ANIL provably learns representations despite overparametrisation
1388. ICLR 2024FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
1389. ICLR 2024Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
1390. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
1391. ICLR 2024Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
1392. ICLR 2024Goodhart's Law in Reinforcement Learning
1393. ICLR 2024GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
1394. ICLR 2024H-GAP: Humanoid Control with a Generalist Planner
1395. ICLR 2024Harnessing Density Ratios for Online Reinforcement Learning
1396. ICLR 2024HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
1397. ICLR 2024Hindsight PRIORs for Reward Learning from Human Preferences
1398. ICLR 2024Horizon-Free Regret for Linear Markov Decision Processes
1399. ICLR 2024Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
1400. ICLR 2024Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response

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.