% Key papers for Behavior cloning theory and models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2018_zero_28453,
  title = {{Zero-Shot Visual Imitation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/51},
}

@inproceedings{cvpr2023_pirlnav_21812,
  title = {{PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22429},
}

@inproceedings{neurips2020_language_60139,
  title = {{Language-Conditioned Imitation Learning for Robot Manipulation Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19032},
}

@inproceedings{iclr2020_deep_29686,
  title = {{Deep Imitative Models for Flexible Inference, Planning, and Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Skl4mRNYDr},
}

@inproceedings{iclr2020_sqil_29605,
  title = {{SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1xKd24twB},
}

@inproceedings{icml2016_model_35909,
  title = {{Model-Free Imitation Learning with Policy Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/ho16.html},
}

@inproceedings{iclr2020_state_29900,
  title = {{State Alignment-based Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rylrdxHFDr},
}

@inproceedings{aaai2018_imitation_102453,
  title = {{Imitation Learning via Kernel Mean Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11720},
}

@inproceedings{cvpr2021_learning_17331,
  title = {{Learning by Watching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2017_state_56684,
  title = {{State Aware Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9076},
}

@inproceedings{neurips2024_is_70749,
  title = {{Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96376},
}

@inproceedings{iclr2020_state_29460,
  title = {{State-only Imitation with Transition Dynamics Mismatch}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJgLLyrYwB},
}

@inproceedings{iclr2020_watch_29624,
  title = {{Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJg5J6NtDr},
}

@inproceedings{aaai2020_learning_103391,
  title = {{Learning from Interventions Using Hierarchical Policies for Safe Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6602},
}

@inproceedings{iclr2024_rlif_35248,
  title = {{RLIF: Interactive Imitation Learning as Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17825},
}

@inproceedings{aaai2017_i_103350,
  title = {{I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11049},
}

@inproceedings{neurips2020_off_60451,
  title = {{Off-Policy Imitation Learning from Observations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16941},
}

@inproceedings{aaai2023_co_3265,
  title = {{Co-imitation: Learning Design and Behaviour by Imitation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25764},
}

@inproceedings{neurips2022_chain_65282,
  title = {{Chain of Thought Imitation with Procedure Cloning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53884},
}

@inproceedings{icml2024_diffusion_44310,
  title = {{Diffusion Model-Augmented Behavioral Cloning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34142},
}

@inproceedings{aaai2024_robust_7180,
  title = {{Robust Visual Imitation Learning with Inverse Dynamics Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29265},
}

@inproceedings{neurips2024_meta_71741,
  title = {{Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95546},
}

@inproceedings{neurips2024_dynamo_74361,
  title = {{DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93200},
}

@inproceedings{iclr2024_towards_33694,
  title = {{Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19381},
}

@inproceedings{iclr2024_memory_34419,
  title = {{Memory-Consistent Neural Networks for Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18656},
}

@inproceedings{neurips2024_diffusion_70605,
  title = {{Diffusion Imitation from Observation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96513},
}

@inproceedings{iclr2024_learning_35401,
  title = {{Learning to Act without Actions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17672},
}

@inproceedings{icml2024_evil_43638,
  title = {{EvIL: Evolution Strategies for Generalisable Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34814},
}

@inproceedings{icml2026_on_49968,
  title = {{On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=7hg1iTd34D},
}

@inproceedings{icml2026_understanding_50185,
  title = {{Understanding Behavior Cloning with Action Quantization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=9uENnRAcSl},
}

@inproceedings{icml2026_when_54406,
  title = {{When Does Predictive Inverse Dynamics Outperform Behavior Cloning?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ocLKXXgvp3},
}

@inproceedings{neurips2025_blindfolded_75106,
  title = {{Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=4Hzsuzl76a},
}

@inproceedings{neurips2025_iostom_76896,
  title = {{IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=OEp1J4V2fN},
}

@inproceedings{neurips2025_a_79532,
  title = {{A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qN5hmLkBtC},
}

@inproceedings{neurips2025_interactive_79729,
  title = {{Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=sT1U2enBh0},
}

@inproceedings{iclr2025_diverse_80862,
  title = {{Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30905},
}

@inproceedings{iclr2025_beyond_81460,
  title = {{Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30314},
}