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 31 of 37

1501. ICLR 2024Reasoning with Latent Diffusion in Offline Reinforcement Learning
1502. ICLR 2024Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
1503. ICLR 2024Reconciling Spatial and Temporal Abstractions for Goal Representation
1504. ICLR 2024Reinforcement Symbolic Regression Machine
1505. ICLR 2024Replay across Experiments: A Natural Extension of Off-Policy RL
1506. ICLR 2024Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
1507. ICLR 2024Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
1508. ICLR 2024Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
1509. ICLR 2024REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
1510. ICLR 2024Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
1511. ICLR 2024Revisiting Data Augmentation in Deep Reinforcement Learning
1512. ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
1513. ICLR 2024Reward Design for Justifiable Sequential Decision-Making
1514. ICLR 2024Reward Model Ensembles Help Mitigate Overoptimization
1515. ICLR 2024Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
1516. ICLR 2024Reward-Free Curricula for Training Robust World Models
1517. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
1518. ICLR 2024RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
1519. ICLR 2024RLIF: Interactive Imitation Learning as Reinforcement Learning
1520. ICLR 2024Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
1521. ICLR 2024Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
1522. ICLR 2024S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
1523. ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
1524. ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
1525. ICLR 2024SafeDreamer: Safe Reinforcement Learning with World Models
1526. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
1527. ICLR 2024Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
1528. ICLR 2024Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
1529. ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
1530. ICLR 2024Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
1531. ICLR 2024Sample-Efficient Multi-Agent RL: An Optimization Perspective
1532. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
1533. ICLR 2024Score Models for Offline Goal-Conditioned Reinforcement Learning
1534. ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
1535. ICLR 2024SEABO: A Simple Search-Based Method for Offline Imitation Learning
1536. ICLR 2024Searching for High-Value Molecules Using Reinforcement Learning and Transformers
1537. ICLR 2024Selective Visual Representations Improve Convergence and Generalization for Embodied AI
1538. ICLR 2024Simple Hierarchical Planning with Diffusion
1539. ICLR 2024Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
1540. ICLR 2024Skill or Luck? Return Decomposition via Advantage Functions
1541. ICLR 2024Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
1542. ICLR 2024Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
1543. ICLR 2024Spatially-Aware Transformers for Embodied Agents
1544. ICLR 2024SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
1545. ICLR 2024Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
1546. ICLR 2024STARC: A General Framework For Quantifying Differences Between Reward Functions
1547. ICLR 2024Statistical Rejection Sampling Improves Preference Optimization
1548. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
1549. ICLR 2024Submodular Reinforcement Learning
1550. ICLR 2024SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation 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.