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 25 of 34

1201. ICLR 2024Unveiling Options with Neural Network Decomposition
1202. ICLR 2024Vanishing Gradients in Reinforcement Finetuning of Language Models
1203. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
1204. ICLR 2024Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
1205. ICLR 2024When should we prefer Decision Transformers for Offline Reinforcement Learning?
1206. ICLR 2024Whittle Index with Multiple Actions and State Constraint for Inventory Management
1207. ICML 2024A General Framework for Sequential Decision-Making under Adaptivity Constraints
1208. ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
1209. ICML 2024Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
1210. ICML 2024Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
1211. ICML 2024Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
1212. ICML 2024Augmenting Decision with Hypothesis in Reinforcement Learning
1213. ICML 2024Averaging $n$-step Returns Reduces Variance in Reinforcement Learning
1214. ICML 2024BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
1215. ICML 2024Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
1216. ICML 2024Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
1217. ICML 2024Confidence Aware Inverse Constrained Reinforcement Learning
1218. ICML 2024Constrained Reinforcement Learning Under Model Mismatch
1219. ICML 2024Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
1220. ICML 2024Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
1221. ICML 2024DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
1222. ICML 2024Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
1223. ICML 2024Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
1224. ICML 2024Emergence of In-Context Reinforcement Learning from Noise Distillation
1225. ICML 2024End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
1226. ICML 2024Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
1227. ICML 2024Feasibility Consistent Representation Learning for Safe Reinforcement Learning
1228. ICML 2024Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
1229. ICML 2024Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
1230. ICML 2024FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
1231. ICML 2024Hybrid Inverse Reinforcement Learning
1232. ICML 2024Hybrid Reinforcement Learning from Offline Observation Alone
1233. ICML 2024Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
1234. ICML 2024In value-based deep reinforcement learning, a pruned network is a good network
1235. ICML 2024In-Context Reinforcement Learning for Variable Action Spaces
1236. ICML 2024Information-Directed Pessimism for Offline Reinforcement Learning
1237. ICML 2024Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
1238. ICML 2024Langevin Policy for Safe Reinforcement Learning
1239. ICML 2024Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
1240. ICML 2024Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
1241. ICML 2024Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
1242. ICML 2024LLM-Empowered State Representation for Reinforcement Learning
1243. ICML 2024Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning
1244. ICML 2024Model-based Reinforcement Learning for Confounded POMDPs
1245. ICML 2024Model-based Reinforcement Learning for Parameterized Action Spaces
1246. ICML 2024Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
1247. ICML 2024More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
1248. ICML 2024No-Regret Reinforcement Learning in Smooth MDPs
1249. ICML 2024Offline Actor-Critic Reinforcement Learning Scales to Large Models
1250. ICML 2024Pausing Policy Learning in Non-stationary 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.