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 27 of 34

1301. NeurIPS 2024CALE: Continuous Arcade Learning Environment
1302. NeurIPS 2024Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
1303. NeurIPS 2024Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
1304. NeurIPS 2024Diffusion Imitation from Observation
1305. NeurIPS 2024Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
1306. NeurIPS 2024Diffusion-based Curriculum Reinforcement Learning
1307. NeurIPS 2024Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
1308. NeurIPS 2024Distributional Reinforcement Learning with Regularized Wasserstein Loss
1309. NeurIPS 2024Doubly Mild Generalization for Offline Reinforcement Learning
1310. NeurIPS 2024Dual Critic Reinforcement Learning under Partial Observability
1311. NeurIPS 2024Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
1312. NeurIPS 2024DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
1313. NeurIPS 2024Efficient Reinforcement Learning by Discovering Neural Pathways
1314. NeurIPS 2024Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
1315. NeurIPS 2024Exclusively Penalized Q-learning for Offline Reinforcement Learning
1316. NeurIPS 2024Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
1317. NeurIPS 2024Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
1318. NeurIPS 2024Federated Ensemble-Directed Offline Reinforcement Learning
1319. NeurIPS 2024First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
1320. NeurIPS 2024Foundations of Multivariate Distributional Reinforcement Learning
1321. NeurIPS 2024Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
1322. NeurIPS 2024Goal-Conditioned On-Policy Reinforcement Learning
1323. NeurIPS 2024How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
1324. NeurIPS 2024How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
1325. NeurIPS 2024Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
1326. NeurIPS 2024Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
1327. NeurIPS 2024Implicit Curriculum in Procgen Made Explicit
1328. NeurIPS 2024In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates
1329. NeurIPS 2024Is Value Learning Really the Main Bottleneck in Offline RL?
1330. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
1331. NeurIPS 2024KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
1332. NeurIPS 2024Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
1333. NeurIPS 2024Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
1334. NeurIPS 2024Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
1335. NeurIPS 2024Learning Goal-Conditioned Representations for Language Reward Models
1336. NeurIPS 2024Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
1337. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
1338. NeurIPS 2024MetaCURL: Non-stationary Concave Utility Reinforcement Learning
1339. NeurIPS 2024Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
1340. NeurIPS 2024Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
1341. NeurIPS 2024Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
1342. NeurIPS 2024Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
1343. NeurIPS 2024NeoRL: Efficient Exploration for Nonepisodic RL
1344. NeurIPS 2024ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
1345. NeurIPS 2024Offline Multitask Representation Learning for Reinforcement Learning
1346. NeurIPS 2024Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
1347. NeurIPS 2024Optimizing Automatic Differentiation with Deep Reinforcement Learning
1348. NeurIPS 2024Oracle-Efficient Reinforcement Learning for Max Value Ensembles
1349. NeurIPS 2024Parallelizing Model-based Reinforcement Learning Over the Sequence Length
1350. NeurIPS 2024Parseval Regularization for Continual 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.