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 468 篇，第 8 / 10 页

  1. NeurIPS 2023Cross-Episodic Curriculum for Transformer Agents
  2. NeurIPS 2023De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
  3. NeurIPS 2023Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
  4. NeurIPS 2023Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
  5. NeurIPS 2023Deep Reinforcement Learning with Plasticity Injection
  6. NeurIPS 2023Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
  7. NeurIPS 2023Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
  8. NeurIPS 2023Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
  9. NeurIPS 2023Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
  10. NeurIPS 2023Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
  11. NeurIPS 2023Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
  12. NeurIPS 2023Efficient Exploration in Continuous-time Model-based Reinforcement Learning
  13. NeurIPS 2023Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
  14. NeurIPS 2023Elastic Decision Transformer
  15. NeurIPS 2023ELDEN: Exploration via Local Dependencies
  16. NeurIPS 2023f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences
  17. NeurIPS 2023General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
  18. NeurIPS 2023Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
  19. NeurIPS 2023Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
  20. NeurIPS 2023Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
  21. NeurIPS 2023HIQL: Offline Goal-Conditioned RL with Latent States as Actions
  22. NeurIPS 2023Hybrid Policy Optimization from Imperfect Demonstrations
  23. NeurIPS 2023Hybrid Search for Efficient Planning with Completeness Guarantees
  24. NeurIPS 2023Hyperbolic VAE via Latent Gaussian Distributions
  25. NeurIPS 2023Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
  26. NeurIPS 2023Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
  27. NeurIPS 2023Information Design in Multi-Agent Reinforcement Learning
  28. NeurIPS 2023Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
  29. NeurIPS 2023Inverse Preference Learning: Preference-based RL without a Reward Function
  30. NeurIPS 2023Inverse Reinforcement Learning with the Average Reward Criterion
  31. NeurIPS 2023Is RLHF More Difficult than Standard RL? A Theoretical Perspective
  32. NeurIPS 2023Iterative Reachability Estimation for Safe Reinforcement Learning
  33. NeurIPS 2023Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
  34. NeurIPS 2023Kernelized Reinforcement Learning with Order Optimal Regret Bounds
  35. NeurIPS 2023KuaiSim: A Comprehensive Simulator for Recommender Systems
  36. NeurIPS 2023Latent exploration for Reinforcement Learning
  37. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
  38. NeurIPS 2023Learning Generalizable Agents via Saliency-guided Features Decorrelation
  39. NeurIPS 2023Learning Regularized Monotone Graphon Mean-Field Games
  40. NeurIPS 2023Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
  41. NeurIPS 2023Learning to Influence Human Behavior with Offline Reinforcement Learning
  42. NeurIPS 2023LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
  43. NeurIPS 2023Long-Term Fairness with Unknown Dynamics
  44. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
  45. NeurIPS 2023Loss Dynamics of Temporal Difference Reinforcement Learning
  46. NeurIPS 2023MIMEx: Intrinsic Rewards from Masked Input Modeling
  47. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
  48. NeurIPS 2023Model-Free Active Exploration in Reinforcement Learning
  49. NeurIPS 2023Model-free Posterior Sampling via Learning Rate Randomization
  50. NeurIPS 2023Model-Free Reinforcement Learning with the Decision-Estimation Coefficient

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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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