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

@inproceedings{neurips2016_generative_55753,
  title = {{Generative Adversarial Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7073},
}

@inproceedings{iclr2019_variational_28991,
  title = {{Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/752},
}

@inproceedings{neurips2017_robust_56635,
  title = {{Robust Imitation of Diverse Behaviors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9307},
}

@inproceedings{iclr2019_discriminator_28925,
  title = {{Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/836},
}

@inproceedings{iclr2019_sample_28791,
  title = {{Sample Efficient Imitation Learning for Continuous Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1050},
}

@inproceedings{neurips2021_what_61135,
  title = {{What Matters for Adversarial Imitation Learning?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28612},
}

@inproceedings{neurips2018_a_56789,
  title = {{A Bayesian Approach to Generative Adversarial Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11715},
}

@inproceedings{aaai2024_exploring_5917,
  title = {{Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29490},
}

@inproceedings{neurips2020_f_61119,
  title = {{f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17408},
}

@inproceedings{aaai2024_diffail_5688,
  title = {{DiffAIL: Diffusion Adversarial Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29470},
}

@inproceedings{aaai2023_unlabeled_4909,
  title = {{Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26222},
}

@inproceedings{iclr2020_on_29302,
  title = {{On Computation and Generalization of Generative Adversarial Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BJl-5pNKDB},
}

@inproceedings{aaai2022_deterministic_1972,
  title = {{Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08378-deterministic-and-discriminative-imitation-d2-imitation-revisiting-adversarial-imitation-for-sample-efficiency/},
}

@inproceedings{icml2021_adversarial_39034,
  title = {{Adversarial Option-Aware Hierarchical Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8589},
}

@inproceedings{aaai2020_variational_102273,
  title = {{Variational Adversarial Kernel Learned Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6135},
}

@inproceedings{neurips2020_adversarial_59346,
  title = {{Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17703},
}

@inproceedings{neurips2021_visual_61127,
  title = {{Visual Adversarial Imitation Learning using Variational Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26654},
}

@inproceedings{neurips2024_c_74186,
  title = {{C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93361},
}

@inproceedings{aaai2025_poi_10247,
  title = {{POI Recommendation via Multi-Objective Adversarial Imitation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33382},
}

@inproceedings{neurips2024_diffusion_73567,
  title = {{Diffusion-Reward Adversarial Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93914},
}

@inproceedings{iclr2024_adversarial_33955,
  title = {{Adversarial Imitation Learning via Boosting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19120},
}

@inproceedings{icml2026_non_49333,
  title = {{Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=1UUJrgYr20},
}

@inproceedings{icml2026_provably_50327,
  title = {{Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=BJUEgspMUt},
}

@inproceedings{icml2026_fail_50537,
  title = {{FAIL: Flow Matching Adversarial Imitation Learning for Image Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DQK5CYXCYd},
}

@inproceedings{neurips2025_dpail_76059,
  title = {{DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=F2ILoE1eDj},
}

@inproceedings{iclr2026_generative_85525,
  title = {{Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=FXm5U16vxD},
}

@inproceedings{iclr2026_on_87947,
  title = {{On Discovering Algorithms for Adversarial Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=hPz3doftL4},
}

@inproceedings{iclr2026_latent_89322,
  title = {{Latent Wasserstein Adversarial Imitation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=xfnR9ok8HJ},
}