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 1,676 篇，第 29 / 34 页

  1. ICLR 2023Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
  2. ICLR 2023CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
  3. ICLR 2023Confidence-Conditioned Value Functions for Offline Reinforcement Learning
  4. ICLR 2023Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
  5. ICLR 2023Decision Transformer under Random Frame Dropping
  6. ICLR 2023Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
  7. ICLR 2023Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
  8. ICLR 2023Distributional Meta-Gradient Reinforcement Learning
  9. ICLR 2023Efficient Deep Reinforcement Learning Requires Regulating Overfitting
  10. ICLR 2023Extreme Q-Learning: MaxEnt RL without Entropy
  11. ICLR 2023Gray-Box Gaussian Processes for Automated Reinforcement Learning
  12. ICLR 2023Guiding Safe Exploration with Weakest Preconditions
  13. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
  14. ICLR 2023HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
  15. ICLR 2023Human-level Atari 200x faster
  16. ICLR 2023Hyperbolic Deep Reinforcement Learning
  17. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
  18. ICLR 2023In-context Reinforcement Learning with Algorithm Distillation
  19. ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
  20. ICLR 2023Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
  21. ICLR 2023Latent Variable Representation for Reinforcement Learning
  22. ICLR 2023Learning About Progress From Experts
  23. ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
  24. ICLR 2023Learning Soft Constraints From Constrained Expert Demonstrations
  25. ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
  26. ICLR 2023Minimum Description Length Control
  27. ICLR 2023MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
  28. ICLR 2023Near-Optimal Adversarial Reinforcement Learning with Switching Costs
  29. ICLR 2023Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
  30. ICLR 2023Near-optimal Policy Identification in Active Reinforcement Learning
  31. ICLR 2023Neural Episodic Control with State Abstraction
  32. ICLR 2023Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
  33. ICLR 2023Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
  34. ICLR 2023On the Robustness of Safe Reinforcement Learning under Observational Perturbations
  35. ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
  36. ICLR 2023PAC Reinforcement Learning for Predictive State Representations
  37. ICLR 2023Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
  38. ICLR 2023Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
  39. ICLR 2023POPGym: Benchmarking Partially Observable Reinforcement Learning
  40. ICLR 2023Provably Efficient Lifelong Reinforcement Learning with Linear Representation
  41. ICLR 2023Quality-Similar Diversity via Population Based Reinforcement Learning
  42. ICLR 2023Quasi-optimal Reinforcement Learning with Continuous Actions
  43. ICLR 2023Recursive Time Series Data Augmentation
  44. ICLR 2023Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
  45. ICLR 2023RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
  46. ICLR 2023ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
  47. ICLR 2023Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
  48. ICLR 2023Spectral Decomposition Representation for Reinforcement Learning
  49. ICLR 2023TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
  50. ICLR 2023Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning

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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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