% Key papers for Inferring decision-making from behavior (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2017_query_104480,
  title = {{Query-Efficient Imitation Learning for End-to-End Simulated Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10857},
}

@inproceedings{aaai2018_context_105793,
  title = {{Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11902},
}

@inproceedings{cvpr2020_learning_15782,
  title = {{Learning Situational Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2017_self_104473,
  title = {{Self-Correcting Models for Model-Based Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10850},
}

@inproceedings{aaai2017_where_104568,
  title = {{Where to Add Actions in Human-in-the-Loop Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10945},
}

@inproceedings{neurips2020_inferring_60082,
  title = {{Inferring learning rules from animal decision-making}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18837},
}

@inproceedings{neurips2016_adaptive_55568,
  title = {{Adaptive optimal training of animal behavior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6888},
}

@inproceedings{neurips2020_avoiding_59416,
  title = {{Avoiding Side Effects By Considering Future Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18798},
}

@inproceedings{neurips2020_what_61094,
  title = {{What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18519},
}

@inproceedings{aaai2021_dialog_422,
  title = {{Dialog Policy Learning for Joint Clarification and Active Learning Queries}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13604-dialog-policy-learning-for-joint-clarification-and-active-learning-queries/},
}

@inproceedings{neurips2022_action_63797,
  title = {{Action-modulated midbrain dopamine activity arises from distributed control policies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54377},
}

@inproceedings{aaai2021_visual_1615,
  title = {{Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/01762-visual-comfort-aware-reinforcement-learning-for-depth-adjustment-of-stereoscopic-3d-images/},
}

@inproceedings{neurips2021_medical_61307,
  title = {{Medical Dead-ends and Learning to Identify High-Risk States and Treatments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28680},
}

@inproceedings{icml2023_understanding_42929,
  title = {{Understanding Plasticity in Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24400},
}

@inproceedings{aaai2018_phase_103415,
  title = {{Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12105},
}

@inproceedings{icml2021_temporl_40004,
  title = {{TempoRL: Learning When to Act}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9879},
}

@inproceedings{neurips2017_dpscreen_56227,
  title = {{DPSCREEN: Dynamic Personalized Screening}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8924},
}

@inproceedings{aaai2022_dips_1973,
  title = {{DiPS: Differentiable Policy for Sketching in Recommender Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06703-dips-differentiable-policy-for-sketching-in-recommender-systems/},
}

@inproceedings{aaai2023_correct_3346,
  title = {{Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26728},
}

@inproceedings{aaai2023_mtdiag_4121,
  title = {{MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26666},
}

@inproceedings{aaai2025_learning_9743,
  title = {{Learning Personalized Decision Support Policies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33555},
}

@inproceedings{aaai2025_a_7888,
  title = {{A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35143},
}

@inproceedings{aaai2025_simulation_10767,
  title = {{Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34577},
}

@inproceedings{iclr2024_learning_34440,
  title = {{Learning to Make Adherence-aware Advice}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18635},
}

@inproceedings{icml2024_why_44421,
  title = {{Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34031},
}

@inproceedings{icml2024_contextualized_44674,
  title = {{Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33778},
}

@inproceedings{neurips2025_neurips_78001,
  title = {{NeurIPS should lead scientific consensus on AI policy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=a4oXTW1PW2},
}

@inproceedings{aaai2026_delphi_106709,
  title = {{Delphi: A Neuro-Symbolic Framework for Individualized, Safe and Interpretable Treatment Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39016},
}

@inproceedings{aaai2024_learning_6491,
  title = {{Learning Uncertainty-Aware Temporally-Extended Actions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29241},
}

@inproceedings{aaai2024_navigating_6746,
  title = {{Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30404},
}

@inproceedings{aaai2025_asp_7990,
  title = {{ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33619},
}

@inproceedings{cvpr2025_gazing_26397,
  title = {{Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35197},
}

@inproceedings{neurips2024_discovering_72912,
  title = {{Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94499},
}

@inproceedings{neurips2024_controlled_74578,
  title = {{Controlled maximal variability along with reliable performance in recurrent neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93009},
}

@inproceedings{iclr2024_behaviour_35362,
  title = {{Behaviour Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17711},
}

@inproceedings{icml2024_how_44169,
  title = {{How to Explore with Belief: State Entropy Maximization in POMDPs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34283},
}

@inproceedings{icml2024_in_45430,
  title = {{In-Context Reinforcement Learning for Variable Action Spaces}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33021},
}

@inproceedings{icml2025_inducing_47198,
  title = {{Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45389},
}

@inproceedings{icml2025_falcon_48099,
  title = {{Falcon: Fast Visuomotor Policies via Partial Denoising}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44509},
}

@inproceedings{icml2025_policy_48703,
  title = {{Policy Design for Two-sided Platforms with Participation Dynamics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43919},
}