% Key papers for RL with tree search for discovery (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2018_a_28531,
  title = {{A Deep Reinforced Model for Abstractive Summarization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/279},
}

@inproceedings{icml2019_population_37659,
  title = {{Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3664},
}

@inproceedings{cvpr2018_a2_12814,
  title = {{A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_A2-RL_Aesthetics_Aware_CVPR_2018_paper.html},
}

@inproceedings{aaai2020_adaptive_100895,
  title = {{Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5587},
}

@inproceedings{icml2017_fake_36189,
  title = {{Fake News Mitigation via Point Process Based Intervention}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/857},
}

@inproceedings{iclr2020_causal_29585,
  title = {{Causal Discovery with Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1g2skStPB},
}

@inproceedings{aaai2020_learning_101058,
  title = {{Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5616},
}

@inproceedings{icml2020_reinforcement_38686,
  title = {{Reinforcement Learning for Integer Programming: Learning to Cut}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5903},
}

@inproceedings{aaai2022_fully_2134,
  title = {{Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04734-fully-adaptive-framework-neural-computerized-adaptive-testing-for-online-education/},
}

@inproceedings{icml2020_learning_38408,
  title = {{Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6767},
}

@inproceedings{iclr2020_model_29521,
  title = {{Model-based reinforcement learning for biological sequence design}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HklxbgBKvr},
}

@inproceedings{iclr2017_metacontrol_28227,
  title = {{Metacontrol for Adaptive Imagination-Based Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=Bk8BvDqex},
}

@inproceedings{neurips2018_learning_57327,
  title = {{Learning to Solve SMT Formulas}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11976},
}

@inproceedings{neurips2018_deep_57004,
  title = {{Deep Generative Models with Learnable Knowledge Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11993},
}

@inproceedings{aaai2022_constrained_1865,
  title = {{Constrained Prescriptive Trees via Column Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04602-constrained-prescriptive-trees-via-column-generation/},
}

@inproceedings{icml2016_hierarchical_35864,
  title = {{Hierarchical Decision Making In Electricity Grid Management}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/dalal16.html},
}

@inproceedings{aaai2021_reinforced_1251,
  title = {{Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04410-reinforced-imitative-graph-representation-learning-for-mobile-user-profiling-an-adversarial-training-perspective/},
}

@inproceedings{aaai2024_earnhft_5789,
  title = {{EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29384},
}

@inproceedings{icml2020_reinforcement_38687,
  title = {{Reinforcement Learning for Molecular Design Guided by Quantum Mechanics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5972},
}

@inproceedings{neurips2021_hit_62031,
  title = {{Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27760},
}

@inproceedings{iclr2024_torchrl_34415,
  title = {{TorchRL: A data-driven decision-making library for PyTorch}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18660},
}

@inproceedings{aaai2024_bertrlfuzzer_5279,
  title = {{BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30455},
}

@inproceedings{aaai2024_transition_7647,
  title = {{Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29696},
}

@inproceedings{aaai2024_divergence_5725,
  title = {{Divergence-Guided Simultaneous Speech Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29733},
}

@inproceedings{aaai2024_multiagent_6715,
  title = {{Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29121},
}

@inproceedings{aaai2024_designing_5673,
  title = {{Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27792},
}

@inproceedings{aaai2024_reinforcement_7099,
  title = {{Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28938},
}

@inproceedings{iclr2024_searching_35232,
  title = {{Searching for High-Value Molecules Using Reinforcement Learning and Transformers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17841},
}

@inproceedings{neurips2024_optimizing_73391,
  title = {{Optimizing Automatic Differentiation with Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94064},
}

@inproceedings{aaai2025_optimizing_10219,
  title = {{Optimizing Gene-Based Testing for Antibiotic Resistance Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35021},
}

@inproceedings{aaai2025_the_10982,
  title = {{The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35159},
}

@inproceedings{cvpr2025_automated_25540,
  title = {{Automated Proof of Polynomial Inequalities via Reinforcement Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32509},
}

@inproceedings{neurips2024_genetic_70991,
  title = {{Genetic-guided GFlowNets for Sample Efficient Molecular Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96215},
}

@inproceedings{neurips2024_unveiling_71481,
  title = {{Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95779},
}

@inproceedings{neurips2024_towards_71699,
  title = {{Towards Effective Planning Strategies for Dynamic Opinion Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95585},
}

@inproceedings{neurips2025_ctrl_76470,
  title = {{Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JeXkIy0JyM},
}

@inproceedings{aaai2026_brownian_106155,
  title = {{Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38462},
}

@inproceedings{aaai2024_mandrel_6562,
  title = {{MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30565},
}

@inproceedings{aaai2025_active_8011,
  title = {{Active Geospatial Search for Efficient Tenant Eviction Outreach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35055},
}