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

403 papers, page 1 of 9

1. CVPR 2024AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
2. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
3. CVPR 2024Learning to Control Camera Exposure via Reinforcement Learning
4. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
5. ICLR 2024$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
6. ICLR 2024A Dynamical View of the Question of Why
7. ICLR 2024Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
8. ICLR 2024Adaptive Rational Activations to Boost Deep Reinforcement Learning
9. ICLR 2024Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
10. ICLR 2024Addressing Signal Delay in Deep Reinforcement Learning
11. ICLR 2024Adversarial Imitation Learning via Boosting
12. ICLR 2024AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
13. ICLR 2024AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
14. ICLR 2024Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
15. ICLR 2024Augmented Bayesian Policy Search
16. ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
17. ICLR 2024Behaviour Distillation
18. ICLR 2024Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
19. ICLR 2024Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
20. ICLR 2024Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
21. ICLR 2024Blending Imitation and Reinforcement Learning for Robust Policy Improvement
22. ICLR 2024Bridging State and History Representations: Understanding Self-Predictive RL
23. ICLR 2024Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
24. ICLR 2024Cascading Reinforcement Learning
25. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
26. ICLR 2024Chain of Hindsight aligns Language Models with Feedback
27. ICLR 2024Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
28. ICLR 2024Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
29. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
30. ICLR 2024Confronting Reward Model Overoptimization with Constrained RLHF
31. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
32. ICLR 2024Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
33. ICLR 2024Contrastive Difference Predictive Coding
34. ICLR 2024Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
35. ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
36. ICLR 2024CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
37. ICLR 2024Curiosity-driven Red-teaming for Large Language Models
38. ICLR 2024Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
39. ICLR 2024Decoupling regularization from the action space
40. ICLR 2024Deep Reinforcement Learning for Modelling Protein Complexes
41. ICLR 2024Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
42. ICLR 2024Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
43. ICLR 2024Demonstration-Regularized RL
44. ICLR 2024Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
45. ICLR 2024Discovering Temporally-Aware Reinforcement Learning Algorithms
46. ICLR 2024DittoGym: Learning to Control Soft Shape-Shifting Robots
47. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
48. ICLR 2024DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
49. ICLR 2024Domain Randomization via Entropy Maximization
50. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

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.