通用机器学习 · reinforcement learning论文趋势 2023–2026

主要结论

• 通用机器学习 · reinforcement learning论文从 2023 年的 287 篇增长到 2026 年的 575 篇，三年间扩大到约 2.0 倍。
• ICLR 是发通用机器学习 · reinforcement learning论文最多的会议，2023–2026 年共 847 篇，占四个会议总量的 51%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 34 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 2；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · reinforcement learning是 2.0 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部通用机器学习 · reinforcement learning论文

共 847 篇，第 9 / 17 页

401. ICLR 2025Efficient Reinforcement Learning with Large Language Model Priors
402. ICLR 2025Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
403. ICLR 2025Energy-Weighted Flow Matching for Offline Reinforcement Learning
404. ICLR 2025Episodic Novelty Through Temporal Distance
405. ICLR 2025Epistemic Monte Carlo Tree Search
406. ICLR 2025eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
407. ICLR 2025Expected Return Symmetries
408. ICLR 2025Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
409. ICLR 2025Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
410. ICLR 2025Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies
411. ICLR 2025Feature-Based Online Bilateral Trade
412. ICLR 2025Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
413. ICLR 2025Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
414. ICLR 2025Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
415. ICLR 2025Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
416. ICLR 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
417. ICLR 2025FOSP: Fine-tuning Offline Safe Policy through World Models
418. ICLR 2025Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
419. ICLR 2025Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
420. ICLR 2025Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
421. ICLR 2025Global Convergence of Policy Gradient in Average Reward MDPs
422. ICLR 2025Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
423. ICLR 2025GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
424. ICLR 2025Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
425. ICLR 2025Handling Delay in Real-Time Reinforcement Learning
426. ICLR 2025Hierarchical World Models as Visual Whole-Body Humanoid Controllers
427. ICLR 2025Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
428. ICLR 2025Horizon Generalization in Reinforcement Learning
429. ICLR 2025How to Find the Exact Pareto Front for Multi-Objective MDPs?
430. ICLR 2025INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
431. ICLR 2025Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
432. ICLR 2025Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
433. ICLR 2025Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
434. ICLR 2025Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
435. ICLR 2025Language Guided Skill Discovery
436. ICLR 2025Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
437. ICLR 2025Lean-STaR: Learning to Interleave Thinking and Proving
438. ICLR 2025Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
439. ICLR 2025Learning from negative feedback, or positive feedback or both
440. ICLR 2025Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
441. ICLR 2025Learning mirror maps in policy mirror descent
442. ICLR 2025Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning
443. ICLR 2025Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
444. ICLR 2025Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning
445. ICLR 2025Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
446. ICLR 2025Learning to Communicate Through Implicit Communication Channels
447. ICLR 2025Learning to Search from Demonstration Sequences
448. ICLR 2025Learning to Steer Markovian Agents under Model Uncertainty
449. ICLR 2025Learning Transformer-based World Models with Contrastive Predictive Coding
450. ICLR 2025Learning View-invariant World Models for Visual Robotic Manipulation

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · reinforcement learning论文？

共 1,676 篇，按年份分别是 2023 年 287 篇、2024 年 403 篇、2025 年 411 篇、2026 年 575 篇。

NeurIPS 2026 有多少篇通用机器学习 · reinforcement learning论文？

NeurIPS 2026 有 113 篇通用机器学习 · reinforcement learning论文，上一届是 108 篇。

ICLR 2026 有多少篇通用机器学习 · reinforcement learning论文？

ICLR 2026 有 335 篇通用机器学习 · reinforcement learning论文，上一届是 230 篇。

ICML 2026 有多少篇通用机器学习 · reinforcement learning论文？

ICML 2026 有 113 篇通用机器学习 · reinforcement learning论文，上一届是 71 篇。

CVPR 2026 有多少篇通用机器学习 · reinforcement learning论文？

CVPR 2026 有 14 篇通用机器学习 · reinforcement learning论文，上一届是 2 篇。

哪个会议的通用机器学习 · reinforcement learning论文最多？

ICLR，2023–2026 年共 847 篇。