% Key papers for Safe policy improvement (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2018_safe_103417,
  title = {{Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12107},
}

@inproceedings{icml2019_safe_37717,
  title = {{Safe Policy Improvement with Baseline Bootstrapping}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3681},
}

@inproceedings{neurips2016_safe_55976,
  title = {{Safe Policy Improvement by Minimizing Robust Baseline Regret}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7309},
}

@inproceedings{neurips2020_towards_60995,
  title = {{Towards Safe Policy Improvement for Non-Stationary MDPs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17861},
}

@inproceedings{aaai2024_towards_7620,
  title = {{Towards Safe Policy Learning under Partial Identifiability: A Causal Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29198},
}

@inproceedings{neurips2024_dynamic_74466,
  title = {{Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93108},
}

@inproceedings{iclr2023_guarded_32488,
  title = {{Guarded Policy Optimization with Imperfect Online Demonstrations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10735},
}

@inproceedings{aaai2024_pure_7028,
  title = {{Pure-Past Action Masking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30163},
}

@inproceedings{aaai2025_neural_10106,
  title = {{Neural Control and Certificate Repair via Runtime Monitoring}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34840},
}

@inproceedings{neurips2023_sample_68697,
  title = {{Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71142},
}

@inproceedings{aaai2023_safety_4604,
  title = {{Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26966},
}

@inproceedings{iclr2023_timing_32790,
  title = {{Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11201},
}

@inproceedings{neurips2025_rccda_74965,
  title = {{RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2w7nx3U07Q},
}

@inproceedings{icml2022_safe_41134,
  title = {{Safe Exploration for Efficient Policy Evaluation and Comparison}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16135},
}

@inproceedings{neurips2021_infinite_63113,
  title = {{Infinite Time Horizon Safety of Bayesian Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28216},
}

@inproceedings{neurips2024_test_72348,
  title = {{Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95000},
}

@inproceedings{neurips2025_constrained_79853,
  title = {{Constrained Diffusers for Safe Planning and Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tahkGZjjWA},
}

@inproceedings{icml2026_safe_54092,
  title = {{Safe In-Context Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=lm4PZa4kjZ},
}

@inproceedings{icml2026_how_54140,
  title = {{How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=mK3xWE7p2T},
}

@inproceedings{icml2026_conformal_54701,
  title = {{Conformal Policy Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rbwy4E0Kyz},
}

@inproceedings{iclr2026_gas_88899,
  title = {{GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=sGrrKMK0cn},
}

@inproceedings{neurips2026_latent_91697,
  title = {{Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150569},
}

@inproceedings{icml2024_run_43853,
  title = {{Run-Time Task Composition with Safety Semantics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34599},
}

@inproceedings{neurips2026_ensuring_93852,
  title = {{Ensuring Deployment-Time Safety of Neural Network Controlled Systems via Localized Certificate Repair}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150792},
}

@inproceedings{neurips2026_reconciling_94515,
  title = {{Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153171},
}

@inproceedings{neurips2026_preference_94684,
  title = {{Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151907},
}

@inproceedings{aaai2026_probabilistic_108613,
  title = {{Probabilistic Safety Verification of Neural Policies via Predicate Abstraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40965},
}