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

@inproceedings{neurips2020_conservative_59572,
  title = {{Conservative Q-Learning for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17621},
}

@inproceedings{neurips2020_mopo_60280,
  title = {{MOPO: Model-based Offline Policy Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18076},
}

@inproceedings{neurips2021_a_62163,
  title = {{A Minimalist Approach to Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27898},
}

@inproceedings{neurips2020_morel_60281,
  title = {{MOReL: Model-Based Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17499},
}

@inproceedings{iclr2022_offline_30880,
  title = {{Offline Reinforcement Learning with Implicit Q-Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5941},
}

@inproceedings{neurips2020_critic_59619,
  title = {{Critic Regularized Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18939},
}

@inproceedings{aaai2022_deepthermal_1951,
  title = {{DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04680-deepthermal-combustion-optimization-for-thermal-power-generating-units-using-offline-reinforcement-learning/},
}

@inproceedings{neurips2021_bridging_61764,
  title = {{Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27227},
}

@inproceedings{iclr2021_deployment_29985,
  title = {{Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3081},
}

@inproceedings{neurips2022_neorl_65754,
  title = {{NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55707},
}

@inproceedings{iclr2021_risk_30331,
  title = {{Risk-Averse Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3116},
}

@inproceedings{aaai2022_offline_2486,
  title = {{Offline Reinforcement Learning as Anti-exploration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08106-offline-reinforcement-learning-as-anti-exploration/},
}

@inproceedings{neurips2021_offline_62817,
  title = {{Offline Reinforcement Learning with Reverse Model-based Imagination}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27602},
}

@inproceedings{neurips2022_rambo_65962,
  title = {{RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55047},
}

@inproceedings{iclr2021_opal_30366,
  title = {{OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3234},
}

@inproceedings{neurips2022_bootstrapped_65278,
  title = {{Bootstrapped Transformer for Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54374},
}

@inproceedings{aaai2023_weighted_4963,
  title = {{Weighted Policy Constraints for Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26130},
}

@inproceedings{neurips2023_efficient_66555,
  title = {{Efficient Diffusion Policies For Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73058},
}

@inproceedings{aaai2020_sequence_102939,
  title = {{Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6249},
}

@inproceedings{aaai2016_offline_105140,
  title = {{Offline Evaluation of Online Reinforcement Learning Algorithms}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10312},
}

@inproceedings{aaai2024_beyond_5286,
  title = {{Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29302},
}

@inproceedings{iclr2025_data_82411,
  title = {{Data Center Cooling System Optimization Using Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29382},
}

@inproceedings{aaai2024_ocean_6802,
  title = {{OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29520},
}

@inproceedings{neurips2024_offline_72872,
  title = {{Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94532},
}

@inproceedings{iclr2024_reasoning_35453,
  title = {{Reasoning with Latent Diffusion in Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17620},
}

@inproceedings{neurips2024_is_73862,
  title = {{Is Value Learning Really the Main Bottleneck in Offline RL?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93647},
}

@inproceedings{neurips2024_federated_74600,
  title = {{Federated Ensemble-Directed Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92989},
}

@inproceedings{aaai2026_treatment_106519,
  title = {{Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38826},
}

@inproceedings{aaai2024_scaling_7265,
  title = {{Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30283},
}

@inproceedings{neurips2024_the_70370,
  title = {{The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96730},
}

@inproceedings{neurips2024_offline_70735,
  title = {{Offline Behavior Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96389},
}

@inproceedings{neurips2024_a_72394,
  title = {{A Tractable Inference Perspective of Offline RL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94960},
}

@inproceedings{neurips2025_forecasting_74868,
  title = {{Forecasting in Offline Reinforcement Learning for Non-stationary Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=24UJqxw1kv},
}

@inproceedings{iclr2025_towards_82123,
  title = {{Towards General-Purpose Model-Free Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29666},
}

@inproceedings{iclr2026_bayes_86861,
  title = {{Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=UmCzGf4qNh},
}

@inproceedings{aaai2026_offline_107493,
  title = {{Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39845},
}

@inproceedings{aaai2025_behaviour_8241,
  title = {{Behaviour Preference Regression for Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34267},
}

@inproceedings{iclr2024_offline_34060,
  title = {{Offline RL with Observation Histories: Analyzing and Improving Sample Complexity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19015},
}

@inproceedings{iclr2024_compositional_34080,
  title = {{Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18995},
}

@inproceedings{icml2024_semopo_44734,
  title = {{SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33718},
}