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

287 papers, page 5 of 6

201. NeurIPS 2023Iterative Reachability Estimation for Safe Reinforcement Learning
202. NeurIPS 2023Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
203. NeurIPS 2023Kernelized Reinforcement Learning with Order Optimal Regret Bounds
204. NeurIPS 2023KuaiSim: A Comprehensive Simulator for Recommender Systems
205. NeurIPS 2023Latent exploration for Reinforcement Learning
206. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
207. NeurIPS 2023Learning Generalizable Agents via Saliency-guided Features Decorrelation
208. NeurIPS 2023Learning Regularized Monotone Graphon Mean-Field Games
209. NeurIPS 2023Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
210. NeurIPS 2023Learning to Influence Human Behavior with Offline Reinforcement Learning
211. NeurIPS 2023LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
212. NeurIPS 2023Long-Term Fairness with Unknown Dynamics
213. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
214. NeurIPS 2023Loss Dynamics of Temporal Difference Reinforcement Learning
215. NeurIPS 2023MIMEx: Intrinsic Rewards from Masked Input Modeling
216. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
217. NeurIPS 2023Model-Free Active Exploration in Reinforcement Learning
218. NeurIPS 2023Model-free Posterior Sampling via Learning Rate Randomization
219. NeurIPS 2023Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
220. NeurIPS 2023Monte Carlo Tree Search with Boltzmann Exploration
221. NeurIPS 2023Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
222. NeurIPS 2023Mutual Information Regularized Offline Reinforcement Learning
223. NeurIPS 2023Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
224. NeurIPS 2023ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
225. NeurIPS 2023OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
226. NeurIPS 2023Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
227. NeurIPS 2023Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
228. NeurIPS 2023Offline Reinforcement Learning with Differential Privacy
229. NeurIPS 2023On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
230. NeurIPS 2023On the Importance of Exploration for Generalization in Reinforcement Learning
231. NeurIPS 2023One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
232. NeurIPS 2023Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
233. NeurIPS 2023Optimistic Active Exploration of Dynamical Systems
234. NeurIPS 2023Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
235. NeurIPS 2023Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
236. NeurIPS 2023Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
237. NeurIPS 2023Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
238. NeurIPS 2023PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
239. NeurIPS 2023Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
240. NeurIPS 2023Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
241. NeurIPS 2023Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
242. NeurIPS 2023Prioritizing Samples in Reinforcement Learning with Reducible Loss
243. NeurIPS 2023Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
244. NeurIPS 2023Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
245. NeurIPS 2023Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
246. NeurIPS 2023Provably Safe Reinforcement Learning with Step-wise Violation Constraints
247. NeurIPS 2023Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
248. NeurIPS 2023Reduced Policy Optimization for Continuous Control with Hard Constraints
249. NeurIPS 2023Reflexion: language agents with verbal reinforcement learning
250. NeurIPS 2023Regret Minimization via Saddle Point Optimization

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.