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

通用机器学习：reinforcement_learning

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,676 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

通用机器学习 · reinforcement learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202314666723287
2024101216824403
2025108230712411
202611333511314575

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

全部通用机器学习 · reinforcement learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 847 篇，第 15 / 17 页

  1. ICLR 2024Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
  2. ICLR 2024Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
  3. ICLR 2024Provable Offline Preference-Based Reinforcement Learning
  4. ICLR 2024Provable Reward-Agnostic Preference-Based Reinforcement Learning
  5. ICLR 2024Provably Efficient CVaR RL in Low-rank MDPs
  6. ICLR 2024Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
  7. ICLR 2024Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
  8. ICLR 2024Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
  9. ICLR 2024Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
  10. ICLR 2024Query-Policy Misalignment in Preference-Based Reinforcement Learning
  11. ICLR 2024Reasoning with Latent Diffusion in Offline Reinforcement Learning
  12. ICLR 2024Reconciling Spatial and Temporal Abstractions for Goal Representation
  13. ICLR 2024Replay across Experiments: A Natural Extension of Off-Policy RL
  14. ICLR 2024Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
  15. ICLR 2024REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
  16. ICLR 2024Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
  17. ICLR 2024Revisiting Data Augmentation in Deep Reinforcement Learning
  18. ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
  19. ICLR 2024Reward Design for Justifiable Sequential Decision-Making
  20. ICLR 2024Reward Model Ensembles Help Mitigate Overoptimization
  21. ICLR 2024Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
  22. ICLR 2024Reward-Free Curricula for Training Robust World Models
  23. ICLR 2024RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment
  24. ICLR 2024RLIF: Interactive Imitation Learning as Reinforcement Learning
  25. ICLR 2024Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
  26. ICLR 2024Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
  27. ICLR 2024S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
  28. ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
  29. ICLR 2024Safe RLHF: Safe Reinforcement Learning from Human Feedback
  30. ICLR 2024SafeDreamer: Safe Reinforcement Learning with World Models
  31. ICLR 2024Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
  32. ICLR 2024Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
  33. ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
  34. ICLR 2024Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
  35. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
  36. ICLR 2024Score Models for Offline Goal-Conditioned Reinforcement Learning
  37. ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
  38. ICLR 2024SEABO: A Simple Search-Based Method for Offline Imitation Learning
  39. ICLR 2024Selective Visual Representations Improve Convergence and Generalization for Embodied AI
  40. ICLR 2024Simple Hierarchical Planning with Diffusion
  41. ICLR 2024Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
  42. ICLR 2024Skill or Luck? Return Decomposition via Advantage Functions
  43. ICLR 2024Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
  44. ICLR 2024Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
  45. ICLR 2024Spatially-Aware Transformers for Embodied Agents
  46. ICLR 2024SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
  47. ICLR 2024STARC: A General Framework For Quantifying Differences Between Reward Functions
  48. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
  49. ICLR 2024Submodular Reinforcement Learning
  50. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

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用 paperlist 查通用机器学习 · reinforcement learning在 ICLR 2023–2026 的论文趋势，哪一年涨得最快？

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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。

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