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

403 papers, page 2 of 9

51. ICLR 2024DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
52. ICLR 2024DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
53. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
54. ICLR 2024Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
55. ICLR 2024Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
56. ICLR 2024Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
57. ICLR 2024Efficient Inverse Multiagent Learning
58. ICLR 2024Efficient Multi-agent Reinforcement Learning by Planning
59. ICLR 2024Efficient Planning with Latent Diffusion
60. ICLR 2024Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
61. ICLR 2024Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
62. ICLR 2024Eureka: Human-Level Reward Design via Coding Large Language Models
63. ICLR 2024Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
64. ICLR 2024Fast Imitation via Behavior Foundation Models
65. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
66. ICLR 2024Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
67. ICLR 2024Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
68. ICLR 2024Fixed-Budget Differentially Private Best Arm Identification
69. ICLR 2024Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
70. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
71. ICLR 2024Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
72. ICLR 2024Goodhart's Law in Reinforcement Learning
73. ICLR 2024GROOT: Learning to Follow Instructions by Watching Gameplay Videos
74. ICLR 2024Hindsight PRIORs for Reward Learning from Human Preferences
75. ICLR 2024Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
76. ICLR 2024Identifying Policy Gradient Subspaces
77. ICLR 2024Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
78. ICLR 2024Imitation Learning from Observation with Automatic Discount Scheduling
79. ICLR 2024Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
80. ICLR 2024Improving Intrinsic Exploration by Creating Stationary Objectives
81. ICLR 2024Improving Offline RL by Blending Heuristics
82. ICLR 2024In-context Exploration-Exploitation for Reinforcement Learning
83. ICLR 2024Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
84. ICLR 2024Intelligent Switching for Reset-Free RL
85. ICLR 2024Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
86. ICLR 2024Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
87. ICLR 2024Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
88. ICLR 2024Language Model Self-improvement by Reinforcement Learning Contemplation
89. ICLR 2024Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
90. ICLR 2024Learning from Sparse Offline Datasets via Conservative Density Estimation
91. ICLR 2024Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
92. ICLR 2024Learning Multi-Agent Communication from Graph Modeling Perspective
93. ICLR 2024Learning Multi-Agent Communication with Contrastive Learning
94. ICLR 2024Learning Optimal Contracts: How to Exploit Small Action Spaces
95. ICLR 2024Learning to Act without Actions
96. ICLR 2024Learning to Make Adherence-aware Advice
97. ICLR 2024Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
98. ICLR 2024Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
99. ICLR 2024Locality Sensitive Sparse Encoding for Learning World Models Online
100. ICLR 2024LOQA: Learning with Opponent Q-Learning Awareness

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.