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 14 of 34

651. ICLR 2025Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
652. ICLR 2025Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies
653. ICLR 2025Feature-Based Online Bilateral Trade
654. ICLR 2025Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
655. ICLR 2025Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
656. ICLR 2025Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
657. ICLR 2025Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
658. ICLR 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
659. ICLR 2025FOSP: Fine-tuning Offline Safe Policy through World Models
660. ICLR 2025Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
661. ICLR 2025Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
662. ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
663. ICLR 2025Global Convergence of Policy Gradient in Average Reward MDPs
664. ICLR 2025Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
665. ICLR 2025GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
666. ICLR 2025Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
667. ICLR 2025Handling Delay in Real-Time Reinforcement Learning
668. ICLR 2025Hierarchical World Models as Visual Whole-Body Humanoid Controllers
669. ICLR 2025Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
670. ICLR 2025Horizon Generalization in Reinforcement Learning
671. ICLR 2025How to Find the Exact Pareto Front for Multi-Objective MDPs?
672. ICLR 2025INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
673. ICLR 2025Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
674. ICLR 2025Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
675. ICLR 2025Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
676. ICLR 2025Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
677. ICLR 2025Language Guided Skill Discovery
678. ICLR 2025Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
679. ICLR 2025Lean-STaR: Learning to Interleave Thinking and Proving
680. ICLR 2025Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
681. ICLR 2025Learning from negative feedback, or positive feedback or both
682. ICLR 2025Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
683. ICLR 2025Learning mirror maps in policy mirror descent
684. ICLR 2025Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
685. ICLR 2025Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
686. ICLR 2025Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning
687. ICLR 2025Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
688. ICLR 2025Learning to Communicate Through Implicit Communication Channels
689. ICLR 2025Learning to Search from Demonstration Sequences
690. ICLR 2025Learning to Steer Markovian Agents under Model Uncertainty
691. ICLR 2025Learning Transformer-based World Models with Contrastive Predictive Coding
692. ICLR 2025Learning View-invariant World Models for Visual Robotic Manipulation
693. ICLR 2025Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
694. ICLR 2025Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
695. ICLR 2025Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning
696. ICLR 2025M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
697. ICLR 2025MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
698. ICLR 2025MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
699. ICLR 2025MaestroMotif: Skill Design from Artificial Intelligence Feedback
700. ICLR 2025MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

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.