General ML · reinforcement learning papers, 2023–2026

Key findings

• General ML · reinforcement learning went from 287 papers in 2023 to 575 in 2026, roughly 2.0x in three years.
• ICLR publishes the most General ML · reinforcement learning work: 847 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 34 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #2 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 2.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026The Sample Complexity of Multiple Change Point Identification under Bandit Feedback
• ICML 2026De-attribute to Forget for LLM Unlearning
• ICLR 2026AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
• CVPR 2026Dynamic Important Example Mining for Reinforcement Finetuning
• NeurIPS 2025RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
• ICML 2025The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
• ICLR 2025A General Framework for Off-Policy Learning with Partially-Observed Reward
• CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
• NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
• ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
• ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
• CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
• NeurIPS 2023General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
• ICML 2023Non-stationary Reinforcement Learning under General Function Approximation
• ICLR 2023A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
• CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
• NeurIPS 2026Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
• ICML 2026Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
• ICLR 2026APPLE: Toward General Active Perception via Reinforcement Learning
• CVPR 2026Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition

All General ML · reinforcement learning papers

23 papers, page 1 of 1

1. CVPR 2026Dynamic Important Example Mining for Reinforcement Finetuning
2. CVPR 2026EVA Efficient Reinforcement Learning for End-to-End Video Agent
3. CVPR 2026General Process Reward Modeling for Robotic Reinforcement Learning
4. CVPR 2026Local Motion Matters A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training
5. CVPR 2026PanoEnv Exploring 3D Spatial Intelligence in Panoramic Environments with Reinforcement
6. CVPR 2026R-C2 Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
7. CVPR 2026Reading or Reasoning Format Decoupled Reinforcement Learning for Document OCR
8. CVPR 2026Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
9. CVPR 2026ReMoT Reinforcement Learning with Motion Contrast Triplets
10. CVPR 2026Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual
11. CVPR 2026SARL-STG A Spatially Aware Reinforcement Learning Framework for Refining MLLMs
12. CVPR 2026Training One Model to Master Cross-Level Agentic Actions via Reinforcement
13. CVPR 2026Tutor-Student Reinforcement Learning A Dynamic Curriculum for Robust Deepfake Detection
14. CVPR 2026W2W Language-Model-Based Trajectory Prediction with Reinforcement Learning
15. CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
16. CVPR 2025Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
17. CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
18. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
19. CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
20. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
21. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
22. CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
23. CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning

FAQ

How many General ML · reinforcement learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,676 in total: 287 in 2023, 403 in 2024, 411 in 2025, 575 in 2026.

How many General ML · reinforcement learning papers are at NeurIPS 2026?

NeurIPS 2026 has 113 General ML · reinforcement learning papers, versus 108 the year before.

How many General ML · reinforcement learning papers are at ICLR 2026?

ICLR 2026 has 335 General ML · reinforcement learning papers, versus 230 the year before.

How many General ML · reinforcement learning papers are at ICML 2026?

ICML 2026 has 113 General ML · reinforcement learning papers, versus 71 the year before.

How many General ML · reinforcement learning papers are at CVPR 2026?

CVPR 2026 has 14 General ML · reinforcement learning papers, versus 2 the year before.

Which conference publishes the most General ML · reinforcement learning papers?

ICLR, with 847 papers from 2023 to 2026.