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

468 papers, page 6 of 10

251. NeurIPS 2024Federated Ensemble-Directed Offline Reinforcement Learning
252. NeurIPS 2024First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
253. NeurIPS 2024Foundations of Multivariate Distributional Reinforcement Learning
254. NeurIPS 2024Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
255. NeurIPS 2024Goal-Conditioned On-Policy Reinforcement Learning
256. NeurIPS 2024How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
257. NeurIPS 2024How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
258. NeurIPS 2024Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
259. NeurIPS 2024Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
260. NeurIPS 2024Implicit Curriculum in Procgen Made Explicit
261. NeurIPS 2024In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
262. NeurIPS 2024Is Value Learning Really the Main Bottleneck in Offline RL?
263. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
264. NeurIPS 2024KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
265. NeurIPS 2024Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
266. NeurIPS 2024Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
267. NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
268. NeurIPS 2024Learning Goal-Conditioned Representations for Language Reward Models
269. NeurIPS 2024Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
270. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
271. NeurIPS 2024MetaCURL: Non-stationary Concave Utility Reinforcement Learning
272. NeurIPS 2024Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
273. NeurIPS 2024Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
274. NeurIPS 2024Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
275. NeurIPS 2024Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
276. NeurIPS 2024NeoRL: Efficient Exploration for Nonepisodic RL
277. NeurIPS 2024ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
278. NeurIPS 2024Offline Multitask Representation Learning for Reinforcement Learning
279. NeurIPS 2024Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
280. NeurIPS 2024Optimizing Automatic Differentiation with Deep Reinforcement Learning
281. NeurIPS 2024Oracle-Efficient Reinforcement Learning for Max Value Ensembles
282. NeurIPS 2024Parallelizing Model-based Reinforcement Learning Over the Sequence Length
283. NeurIPS 2024Parseval Regularization for Continual Reinforcement Learning
284. NeurIPS 2024PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
285. NeurIPS 2024Provable Partially Observable Reinforcement Learning with Privileged Information
286. NeurIPS 2024Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
287. NeurIPS 2024Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
288. NeurIPS 2024Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
289. NeurIPS 2024Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
290. NeurIPS 2024REBEL: Reinforcement Learning via Regressing Relative Rewards
291. NeurIPS 2024Recurrent Reinforcement Learning with Memoroids
292. NeurIPS 2024Regularized Q-Learning
293. NeurIPS 2024Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
294. NeurIPS 2024Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
295. NeurIPS 2024Reinforcement Learning with Lookahead Information
296. NeurIPS 2024Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
297. NeurIPS 2024Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
298. NeurIPS 2024Rethinking Optimal Transport in Offline Reinforcement Learning
299. NeurIPS 2024Robust Reinforcement Learning with General Utility
300. NeurIPS 2024Sample-Efficient Constrained Reinforcement Learning with General Parameterization

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.