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

1,676 papers, page 24 of 34

1151. ICLR 2024Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
1152. ICLR 2024S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
1153. ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
1154. ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
1155. ICLR 2024SafeDreamer: Safe Reinforcement Learning with World Models
1156. ICLR 2024Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
1157. ICLR 2024Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
1158. ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
1159. ICLR 2024Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
1160. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
1161. ICLR 2024Score Models for Offline Goal-Conditioned Reinforcement Learning
1162. ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
1163. ICLR 2024SEABO: A Simple Search-Based Method for Offline Imitation Learning
1164. ICLR 2024Selective Visual Representations Improve Convergence and Generalization for Embodied AI
1165. ICLR 2024Simple Hierarchical Planning with Diffusion
1166. ICLR 2024Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
1167. ICLR 2024Skill or Luck? Return Decomposition via Advantage Functions
1168. ICLR 2024Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
1169. ICLR 2024Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
1170. ICLR 2024Spatially-Aware Transformers for Embodied Agents
1171. ICLR 2024SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
1172. ICLR 2024STARC: A General Framework For Quantifying Differences Between Reward Functions
1173. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
1174. ICLR 2024Submodular Reinforcement Learning
1175. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
1176. ICLR 2024Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
1177. ICLR 2024TD-MPC2: Scalable, Robust World Models for Continuous Control
1178. ICLR 2024Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
1179. ICLR 2024The Curse of Diversity in Ensemble-Based Exploration
1180. ICLR 2024The Effective Horizon Explains Deep RL Performance in Stochastic Environments
1181. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
1182. ICLR 2024The Update-Equivalence Framework for Decision-Time Planning
1183. ICLR 2024The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
1184. ICLR 2024Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
1185. ICLR 2024TorchRL: A data-driven decision-making library for PyTorch
1186. ICLR 2024Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
1187. ICLR 2024Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
1188. ICLR 2024Towards Offline Opponent Modeling with In-context Learning
1189. ICLR 2024Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
1190. ICLR 2024Towards Principled Representation Learning from Videos for Reinforcement Learning
1191. ICLR 2024Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
1192. ICLR 2024Tree Search-Based Policy Optimization under Stochastic Execution Delay
1193. ICLR 2024True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
1194. ICLR 2024Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
1195. ICLR 2024Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
1196. ICLR 2024Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
1197. ICLR 2024Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
1198. ICLR 2024Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
1199. ICLR 2024Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
1200. ICLR 2024Unlocking the Power of Representations in Long-term Novelty-based Exploration

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.