% Key papers for Behavior regularization for offline RL (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2021_offline_39685,
  title = {{Offline Reinforcement Learning with Fisher Divergence Critic Regularization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8977},
}

@inproceedings{iclr2023_diffusion_32184,
  title = {{Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11133},
}

@inproceedings{neurips2022_supported_64607,
  title = {{Supported Policy Optimization for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55125},
}

@inproceedings{neurips2024_entropy_73393,
  title = {{Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94062},
}

@inproceedings{iclr2022_dr3_31242,
  title = {{DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6927},
}

@inproceedings{aaai2024_an_5183,
  title = {{An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29637},
}

@inproceedings{iclr2023_offline_33322,
  title = {{Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12119},
}

@inproceedings{iclr2022_model_31044,
  title = {{Model-Based Offline Meta-Reinforcement Learning with Regularization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6873},
}

@inproceedings{icml2023_policy_41395,
  title = {{Policy Regularization with Dataset Constraint for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24278},
}

@inproceedings{neurips2024_iteratively_72179,
  title = {{Iteratively Refined Behavior Regularization for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95161},
}

@inproceedings{neurips2023_supported_68994,
  title = {{Supported Value Regularization for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70875},
}

@inproceedings{aaai2025_distribution_8772,
  title = {{Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35013},
}

@inproceedings{icml2023_a_42465,
  title = {{A Connection between One-Step RL and Critic Regularization in Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24855},
}

@inproceedings{neurips2023_mutual_66704,
  title = {{Mutual Information Regularized Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72924},
}

@inproceedings{aaai2025_improving_9530,
  title = {{Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35402},
}

@inproceedings{icml2024_adaptive_43920,
  title = {{Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34532},
}

@inproceedings{icml2025_learning_47965,
  title = {{Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44640},
}

@inproceedings{icml2025_behavior_48618,
  title = {{Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44003},
}

@inproceedings{neurips2024_doubly_70668,
  title = {{Doubly Mild Generalization for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96454},
}

@inproceedings{neurips2025_don_78423,
  title = {{Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eSIRst0WVy},
}

@inproceedings{iclr2025_offline_82880,
  title = {{Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28920},
}

@inproceedings{iclr2025_diffusion_83303,
  title = {{Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28510},
}

@inproceedings{iclr2026_beyond_87295,
  title = {{Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=a4DbIONcpb},
}

@inproceedings{iclr2026_statistical_87949,
  title = {{Statistical Guarantees for Offline Domain Randomization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=hQpCwzjQg6},
}

@inproceedings{aaai2026_behavior_107564,
  title = {{Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39916},
}

@inproceedings{icml2024_improving_43773,
  title = {{Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34679},
}

@inproceedings{icml2025_test_47656,
  title = {{Test-time Adapted Reinforcement Learning with Action Entropy Regularization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44941},
}

@inproceedings{icml2026_reg_49505,
  title = {{REG: In-Sample RL via Regularizing the Evaluation Gap}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=375MRN00Z0},
}

@inproceedings{icml2026_continuity_54773,
  title = {{Continuity-Regularized Flow Matching for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=sV3bCyzAvH},
}

@inproceedings{iclr2026_value_85891,
  title = {{Value Gradient Flow: Behavior-Regularized RL without Regularization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=JLL4VNVhM9},
}