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

847 papers, page 17 of 17

801. ICLR 2023Guiding Safe Exploration with Weakest Preconditions
802. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
803. ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
804. ICLR 2023Human-level Atari 200x faster
805. ICLR 2023Hyperbolic Deep Reinforcement Learning
806. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
807. ICLR 2023In-context Reinforcement Learning with Algorithm Distillation
808. ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
809. ICLR 2023Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
810. ICLR 2023Latent Variable Representation for Reinforcement Learning
811. ICLR 2023Learning About Progress From Experts
812. ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
813. ICLR 2023Learning Soft Constraints From Constrained Expert Demonstrations
814. ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
815. ICLR 2023Minimum Description Length Control
816. ICLR 2023MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
817. ICLR 2023Near-Optimal Adversarial Reinforcement Learning with Switching Costs
818. ICLR 2023Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
819. ICLR 2023Near-optimal Policy Identification in Active Reinforcement Learning
820. ICLR 2023Neural Episodic Control with State Abstraction
821. ICLR 2023Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
822. ICLR 2023Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
823. ICLR 2023On the Robustness of Safe Reinforcement Learning under Observational Perturbations
824. ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
825. ICLR 2023PAC Reinforcement Learning for Predictive State Representations
826. ICLR 2023Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
827. ICLR 2023Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
828. ICLR 2023POPGym: Benchmarking Partially Observable Reinforcement Learning
829. ICLR 2023Provably Efficient Lifelong Reinforcement Learning with Linear Representation
830. ICLR 2023Quality-Similar Diversity via Population Based Reinforcement Learning
831. ICLR 2023Quasi-optimal Reinforcement Learning with Continuous Actions
832. ICLR 2023Recursive Time Series Data Augmentation
833. ICLR 2023Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
834. ICLR 2023RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
835. ICLR 2023ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
836. ICLR 2023Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
837. ICLR 2023Spectral Decomposition Representation for Reinforcement Learning
838. ICLR 2023TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
839. ICLR 2023Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
840. ICLR 2023The In-Sample Softmax for Offline Reinforcement Learning
841. ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
842. ICLR 2023The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
843. ICLR 2023Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
844. ICLR 2023Transformer-based World Models Are Happy With 100k Interactions
845. ICLR 2023User-Interactive Offline Reinforcement Learning
846. ICLR 2023VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
847. ICLR 2023When Data Geometry Meets Deep Function: Generalizing Offline 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.