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 37 of 37

1801. ICLR 2023Task Ambiguity in Humans and Language Models
1802. ICLR 2023TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
1803. ICLR 2023Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
1804. ICLR 2023The In-Sample Softmax for Offline Reinforcement Learning
1805. ICLR 2023The Power of Regularization in Solving Extensive-Form Games
1806. ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
1807. ICLR 2023The Role of Coverage in Online Reinforcement Learning
1808. ICLR 2023The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
1809. ICLR 2023Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
1810. ICLR 2023Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
1811. ICLR 2023Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
1812. ICLR 2023Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
1813. ICLR 2023Transformer-based model for symbolic regression via joint supervised learning
1814. ICLR 2023Transformer-based World Models Are Happy With 100k Interactions
1815. ICLR 2023Transformers are Sample-Efficient World Models
1816. ICLR 2023Truthful Self-Play
1817. ICLR 2023Understanding and Adopting Rational Behavior by Bellman Score Estimation
1818. ICLR 2023User-Interactive Offline Reinforcement Learning
1819. ICLR 2023Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
1820. ICLR 2023Variational Information Pursuit for Interpretable Predictions
1821. ICLR 2023Variational Latent Branching Model for Off-Policy Evaluation
1822. ICLR 2023VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
1823. ICLR 2023VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
1824. ICLR 2023Visual Imitation Learning with Patch Rewards
1825. ICLR 2023Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
1826. ICLR 2023When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
1827. ICLR 2023Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation

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.