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 22 of 34

1051. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
1052. ICLR 2024Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
1053. ICLR 2024Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
1054. ICLR 2024Fixed-Budget Differentially Private Best Arm Identification
1055. ICLR 2024Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
1056. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
1057. ICLR 2024Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
1058. ICLR 2024Goodhart's Law in Reinforcement Learning
1059. ICLR 2024GROOT: Learning to Follow Instructions by Watching Gameplay Videos
1060. ICLR 2024Hindsight PRIORs for Reward Learning from Human Preferences
1061. ICLR 2024Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
1062. ICLR 2024Identifying Policy Gradient Subspaces
1063. ICLR 2024Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
1064. ICLR 2024Imitation Learning from Observation with Automatic Discount Scheduling
1065. ICLR 2024Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
1066. ICLR 2024Improving Intrinsic Exploration by Creating Stationary Objectives
1067. ICLR 2024Improving Offline RL by Blending Heuristics
1068. ICLR 2024In-context Exploration-Exploitation for Reinforcement Learning
1069. ICLR 2024Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
1070. ICLR 2024Intelligent Switching for Reset-Free RL
1071. ICLR 2024Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
1072. ICLR 2024Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
1073. ICLR 2024Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
1074. ICLR 2024Language Model Self-improvement by Reinforcement Learning Contemplation
1075. ICLR 2024Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
1076. ICLR 2024Learning from Sparse Offline Datasets via Conservative Density Estimation
1077. ICLR 2024Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
1078. ICLR 2024Learning Multi-Agent Communication from Graph Modeling Perspective
1079. ICLR 2024Learning Multi-Agent Communication with Contrastive Learning
1080. ICLR 2024Learning Optimal Contracts: How to Exploit Small Action Spaces
1081. ICLR 2024Learning to Act without Actions
1082. ICLR 2024Learning to Make Adherence-aware Advice
1083. ICLR 2024Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
1084. ICLR 2024Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
1085. ICLR 2024Locality Sensitive Sparse Encoding for Learning World Models Online
1086. ICLR 2024LOQA: Learning with Opponent Q-Learning Awareness
1087. ICLR 2024Making RL with Preference-based Feedback Efficient via Randomization
1088. ICLR 2024MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
1089. ICLR 2024Massively Scalable Inverse Reinforcement Learning in Google Maps
1090. ICLR 2024Mastering Memory Tasks with World Models
1091. ICLR 2024Maximum Entropy Heterogeneous-Agent Reinforcement Learning
1092. ICLR 2024Maximum Entropy Model Correction in Reinforcement Learning
1093. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
1094. ICLR 2024Memory-Consistent Neural Networks for Imitation Learning
1095. ICLR 2024Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis
1096. ICLR 2024Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
1097. ICLR 2024METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
1098. ICLR 2024Motif: Intrinsic Motivation from Artificial Intelligence Feedback
1099. ICLR 2024Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
1100. ICLR 2024Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

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.