% Key papers for Curriculum and environment design (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2017_reinforcement_28308,
  title = {{Reinforcement Learning with Unsupervised Auxiliary Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJ6yPD5xg},
}

@inproceedings{iclr2019_recurrent_29132,
  title = {{Recurrent Experience Replay in Distributed Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/648},
}

@inproceedings{iclr2018_continuous_28611,
  title = {{Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/171},
}

@inproceedings{iclr2018_emergent_28629,
  title = {{Emergent Complexity via Multi-Agent Competition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/260},
}

@inproceedings{icml2018_automatic_36531,
  title = {{Automatic Goal Generation for Reinforcement Learning Agents}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2287},
}

@inproceedings{icml2018_synthesizing_37025,
  title = {{Synthesizing Programs for Images using Reinforced Adversarial Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1972},
}

@inproceedings{iclr2019_learning_28996,
  title = {{Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1073},
}

@inproceedings{aaai2019_on_101679,
  title = {{On Reinforcement Learning for Full-Length Game of StarCraft}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4394},
}

@inproceedings{aaai2017_automatic_104556,
  title = {{Automatic Curriculum Graph Generation for Reinforcement Learning Agents}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10933},
}

@inproceedings{iclr2018_hierarchical_28597,
  title = {{Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/128},
}

@inproceedings{neurips2019_mcp_58565,
  title = {{MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13536},
}

@inproceedings{iclr2019_rigorous_28755,
  title = {{Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1136},
}

@inproceedings{neurips2016_adaptive_55566,
  title = {{Adaptive Skills Adaptive Partitions (ASAP)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6981},
}

@inproceedings{neurips2020_automatic_59410,
  title = {{Automatic Curriculum Learning through Value Disagreement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18120},
}

@inproceedings{icml2020_maximum_38441,
  title = {{Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6622},
}

@inproceedings{iclr2020_option_29251,
  title = {{Option Discovery using Deep Skill Chaining}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=B1gqipNYwH},
}

@inproceedings{icml2018_mix_36853,
  title = {{Mix \& Match Agent Curricula for Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2187},
}

@inproceedings{neurips2019_generalization_58325,
  title = {{Generalization of Reinforcement Learners with Working and Episodic Memory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14201},
}

@inproceedings{neurips2020_emergent_59780,
  title = {{Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17973},
}

@inproceedings{neurips2020_meta_60305,
  title = {{Meta-Learning through Hebbian Plasticity in Random Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17425},
}

@inproceedings{aaai2025_genal_9308,
  title = {{GenAL: Generative Agent for Adaptive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32038},
}

@inproceedings{aaai2024_sustainability_7447,
  title = {{Sustainability of Data Center Digital Twins with Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30580},
}

@inproceedings{neurips2024_diffusion_74563,
  title = {{Diffusion-based Curriculum Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93021},
}

@inproceedings{aaai2024_partially_6930,
  title = {{Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30504},
}

@inproceedings{aaai2025_hierarchical_9438,
  title = {{Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35370},
}

@inproceedings{aaai2024_unsupervised_7724,
  title = {{Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29268},
}

@inproceedings{neurips2024_no_73446,
  title = {{No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94019},
}

@inproceedings{neurips2025_orbitzoo_79332,
  title = {{OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=oElWLpkOux},
}

@inproceedings{aaai2025_marginal_9908,
  title = {{Marginal Benefit Driven RL Teacher for Unsupervised Environment Design}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34008},
}

@inproceedings{iclr2024_intelligent_34306,
  title = {{Intelligent Switching for Reset-Free RL}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18769},
}

@inproceedings{icml2024_efficient_44914,
  title = {{Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33538},
}

@inproceedings{icml2024_generalization_45241,
  title = {{Generalization to New Sequential Decision Making Tasks with In-Context Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33211},
}

@inproceedings{icml2025_of_48652,
  title = {{Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43969},
}

@inproceedings{icml2026_adaptive_51895,
  title = {{Adaptive Reinforcement Learning for Unobservable Random Delays}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QpgIOT06k3},
}

@inproceedings{icml2026_learning_52802,
  title = {{Learning to Perceive the World Through Control: Empowerment-Based Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ZAZb1ZGnFH},
}

@inproceedings{neurips2024_improving_72401,
  title = {{Improving Environment Novelty Quantification for Effective Unsupervised Environment Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94954},
}

@inproceedings{neurips2024_enabling_72637,
  title = {{Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94744},
}

@inproceedings{neurips2024_implicit_73825,
  title = {{Implicit Curriculum in Procgen Made Explicit}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93682},
}

@inproceedings{neurips2025_ophr_74952,
  title = {{OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2p4AtivyZz},
}

@inproceedings{neurips2025_breaking_77256,
  title = {{Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=RxkCwOKVKa},
}