% Key papers for Offline imitation from imperfect data (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2019_imitating_37434,
  title = {{Imitating Latent Policies from Observation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3971},
}

@inproceedings{neurips2018_exponentially_57116,
  title = {{Exponentially Weighted Imitation Learning for Batched Historical Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11609},
}

@inproceedings{icml2020_safe_38723,
  title = {{Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6465},
}

@inproceedings{iclr2020_disagreement_29840,
  title = {{Disagreement-Regularized Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rkgbYyHtwB},
}

@inproceedings{iclr2019_directed_28762,
  title = {{Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1072},
}

@inproceedings{iclr2021_primal_30346,
  title = {{Primal Wasserstein Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2569},
}

@inproceedings{icml2019_provably_37671,
  title = {{Provably Efficient Imitation Learning from Observation Alone}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3927},
}

@inproceedings{iclr2020_imitation_29546,
  title = {{Imitation Learning via Off-Policy Distribution Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Hyg-JC4FDr},
}

@inproceedings{aaai2020_few_103335,
  title = {{Few-Shot Bayesian Imitation Learning with Logical Program Policies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6587},
}

@inproceedings{neurips2020_toward_60982,
  title = {{Toward the Fundamental Limits of Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18051},
}

@inproceedings{neurips2021_confidence_62225,
  title = {{Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27558},
}

@inproceedings{neurips2020_error_59794,
  title = {{Error Bounds of Imitating Policies and Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17140},
}

@inproceedings{icml2019_imitation_37435,
  title = {{Imitation Learning from Imperfect Demonstration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3632},
}

@inproceedings{icml2019_random_37679,
  title = {{Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4038},
}

@inproceedings{neurips2020_strictly_60889,
  title = {{Strictly Batch Imitation Learning by Energy-based Distribution Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18038},
}

@inproceedings{iclr2019_generative_29067,
  title = {{Generative predecessor models for sample-efficient imitation learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/814},
}

@inproceedings{icml2016_smooth_35979,
  title = {{Smooth Imitation Learning for Online Sequence Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/le16.html},
}

@inproceedings{icml2020_domain_38126,
  title = {{Domain Adaptive Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6042},
}

@inproceedings{iclr2021_behavioral_30777,
  title = {{Behavioral Cloning from Noisy Demonstrations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3110},
}

@inproceedings{aaai2023_offline_4269,
  title = {{Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26305},
}

@inproceedings{aaai2024_harnessing_6193,
  title = {{Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30252},
}

@inproceedings{aaai2024_go_6091,
  title = {{GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29172},
}

@inproceedings{neurips2024_sprinql_74273,
  title = {{SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93284},
}

@inproceedings{iclr2024_blending_34847,
  title = {{Blending Imitation and Reinforcement Learning for Robust Policy Improvement}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18227},
}

@inproceedings{neurips2024_causal_71596,
  title = {{Causal Imitation for Markov Decision Processes: a Partial Identification Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95675},
}

@inproceedings{neurips2024_mitigating_73651,
  title = {{Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93841},
}

@inproceedings{iclr2024_seabo_34249,
  title = {{SEABO: A Simple Search-Based Method for Offline Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18826},
}

@inproceedings{icml2024_how_45364,
  title = {{How to Leverage Diverse Demonstrations in Offline Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33087},
}

@inproceedings{neurips2024_aed_70517,
  title = {{AED: Adaptable Error Detection for Few-shot Imitation Policy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96591},
}

@inproceedings{neurips2025_learning_76827,
  title = {{Learning from Demonstrations via Capability-Aware Goal Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NM5dprhsGK},
}

@inproceedings{aaai2025_markov_9909,
  title = {{Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33680},
}

@inproceedings{iclr2024_ccil_34209,
  title = {{CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18866},
}

@inproceedings{icml2024_offline_43435,
  title = {{Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35017},
}

@inproceedings{icml2024_mimicking_44057,
  title = {{Mimicking Better by Matching the Approximate Action Distribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34395},
}

@inproceedings{icml2024_agnostic_44569,
  title = {{Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33883},
}

@inproceedings{icml2024_ollie_44944,
  title = {{OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33508},
}

@inproceedings{icml2024_expert_45046,
  title = {{Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33406},
}

@inproceedings{icml2025_zero_46352,
  title = {{Zero-Shot Offline Imitation Learning via Optimal Transport}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46209},
}

@inproceedings{icml2025_il_47084,
  title = {{IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45502},
}

@inproceedings{icml2025_action_47094,
  title = {{Action-Constrained Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45492},
}