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

82 papers, page 2 of 2

51. ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
52. ICML 2024Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation
53. ICML 2024Q-value Regularized Transformer for Offline Reinforcement Learning
54. ICML 2024Random Latent Exploration for Deep Reinforcement Learning
55. ICML 2024Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
56. ICML 2024Rethinking Decision Transformer via Hierarchical Reinforcement Learning
57. ICML 2024Reward Shaping for Reinforcement Learning with An Assistant Reward Agent
58. ICML 2024Reward-Free Kernel-Based Reinforcement Learning
59. ICML 2024RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
60. ICML 2024Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
61. ICML 2024RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
62. ICML 2024Risk-Sensitive Reward-Free Reinforcement Learning with CVaR
63. ICML 2024Robust Inverse Constrained Reinforcement Learning under Model Misspecification
64. ICML 2024RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
65. ICML 2024Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
66. ICML 2024Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
67. ICML 2024Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
68. ICML 2024SHINE: Shielding Backdoors in Deep Reinforcement Learning
69. ICML 2024Simple Ingredients for Offline Reinforcement Learning
70. ICML 2024Single-Trajectory Distributionally Robust Reinforcement Learning
71. ICML 2024SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
72. ICML 2024Switching the Loss Reduces the Cost in Batch Reinforcement Learning
73. ICML 2024Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
74. ICML 2024Test-Time Regret Minimization in Meta Reinforcement Learning
75. ICML 2024To the Max: Reinventing Reward in Reinforcement Learning
76. ICML 2024Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
77. ICML 2024Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
78. ICML 2024Uncertainty-Aware Reward-Free Exploration with General Function Approximation
79. ICML 2024Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
80. ICML 2024Value-Evolutionary-Based Reinforcement Learning
81. ICML 2024When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
82. ICML 2024Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

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.