% Key papers for In-context and adaptive RL (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_feudal_36194,
  title = {{FeUdal Networks for Hierarchical Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/542},
}

@inproceedings{aaai2019_hierarchical_99722,
  title = {{Hierarchical Reinforcement Learning for Course Recommendation in MOOCs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3815},
}

@inproceedings{icml2018_using_37071,
  title = {{Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2454},
}

@inproceedings{aaai2020_tree_103817,
  title = {{Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6924},
}

@inproceedings{icml2016_near_35913,
  title = {{Near Optimal Behavior via Approximate State Abstraction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/abel16.html},
}

@inproceedings{aaai2021_hierarchical_713,
  title = {{Hierarchical Reinforcement Learning for Integrated Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04521-hierarchical-reinforcement-learning-for-integrated-recommendation/},
}

@inproceedings{aaai2018_when_102564,
  title = {{When Waiting Is Not an Option: Learning Options With a Deliberation Cost}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11831},
}

@inproceedings{iclr2019_learning_29232,
  title = {{Learning Multi-Level Hierarchies with Hindsight}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/913},
}

@inproceedings{icml2018_state_37001,
  title = {{State Abstractions for Lifelong Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2087},
}

@inproceedings{neurips2020_multi_60358,
  title = {{Multi-Task Reinforcement Learning with Soft Modularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17867},
}

@inproceedings{iclr2020_measuring_29647,
  title = {{Measuring the Reliability of Reinforcement Learning Algorithms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJlpYJBKvH},
}

@inproceedings{aaai2021_scheduling_1342,
  title = {{Scheduling of Time-Varying Workloads Using Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09000-scheduling-of-time-varying-workloads-using-reinforcement-learning/},
}

@inproceedings{aaai2021_commission_267,
  title = {{Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00626-commission-fee-is-not-enough-a-hierarchical-reinforced-framework-for-portfolio-management/},
}

@inproceedings{iclr2017_learning_28330,
  title = {{Learning to Compose Words into Sentences with Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=Skvgqgqxe},
}

@inproceedings{aaai2021_temporal_1482,
  title = {{Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07995-temporal-logic-based-reward-shaping-for-continuing-reinforcement-learning-tasks/},
}

@inproceedings{icml2020_adaptive_37910,
  title = {{Adaptive Reward-Poisoning Attacks against Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6555},
}

@inproceedings{iclr2020_behaviour_29883,
  title = {{Behaviour Suite for Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rygf-kSYwH},
}

@inproceedings{neurips2018_hierarchical_57201,
  title = {{Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11689},
}

@inproceedings{aaai2021_advice_107,
  title = {{Advice-Guided Reinforcement Learning in a non-Markovian Environment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09073-advice-guided-reinforcement-learning-in-a-non-markovian-environment/},
}

@inproceedings{iclr2019_information_29019,
  title = {{Information asymmetry in KL-regularized RL}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1046},
}

@inproceedings{aaai2024_assume_5212,
  title = {{Assume-Guarantee Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30116},
}

@inproceedings{icml2024_rethinking_44606,
  title = {{Rethinking Decision Transformer via Hierarchical Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33846},
}

@inproceedings{aaai2025_autonomous_8204,
  title = {{Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34163},
}

@inproceedings{aaai2025_erl_8880,
  title = {{ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32748},
}

@inproceedings{aaai2025_latent_9713,
  title = {{Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34213},
}

@inproceedings{aaai2025_smose_10620,
  title = {{SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35394},
}

@inproceedings{neurips2024_an_72066,
  title = {{An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95257},
}

@inproceedings{aaai2024_episodic_5871,
  title = {{Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29287},
}

@inproceedings{aaai2025_autonomous_8202,
  title = {{Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32056},
}

@inproceedings{iclr2024_amago_34236,
  title = {{AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18839},
}

@inproceedings{neurips2025_what_76521,
  title = {{WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KIlw9nWydt},
}

@inproceedings{neurips2025_mixture_77573,
  title = {{Mixture-of-Experts Meets In-Context Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VMqxRPqdPw},
}

@inproceedings{aaai2024_reward_7155,
  title = {{Reward (Mis)design for Autonomous Driving (Abstract Reprint)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30602},
}

@inproceedings{aaai2025_optimizing_10220,
  title = {{Optimizing Heat Alert Issuance with Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35009},
}

@inproceedings{iclr2024_replay_34296,
  title = {{Replay across Experiments: A Natural Extension of Off-Policy RL}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18779},
}

@inproceedings{iclr2024_reward_34845,
  title = {{Reward-Free Curricula for Training Robust World Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18229},
}

@inproceedings{icml2025_reinforcement_46650,
  title = {{Reinforcement Learning for Quantum Control under Physical Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45921},
}

@inproceedings{neurips2024_decomposed_71436,
  title = {{Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95819},
}

@inproceedings{neurips2025_towards_77578,
  title = {{Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VPm6afl0Sc},
}

@inproceedings{aaai2024_reward_7158,
  title = {{Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30613},
}