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

@inproceedings{neurips2017_successor_56705,
  title = {{Successor Features for Transfer in Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9186},
}

@inproceedings{neurips2019_a_57851,
  title = {{A neurally plausible model learns successor representations in partially observable environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13246},
}

@inproceedings{neurips2021_risk_62627,
  title = {{Risk-Aware Transfer in Reinforcement Learning using Successor Features}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28397},
}

@inproceedings{aaai2021_successor_1445,
  title = {{Successor Feature Sets: Generalizing Successor Representations Across Policies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11774-successor-feature-sets-generalizing-successor-representations-across-policies/},
}

@inproceedings{icml2021_a_38969,
  title = {{A New Representation of Successor Features for Transfer across Dissimilar Environments}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10753},
}

@inproceedings{neurips2023_combining_67539,
  title = {{Combining Behaviors with the Successor Features Keyboard}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72199},
}

@inproceedings{icml2021_policy_39790,
  title = {{Policy Caches with Successor Features}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9347},
}

@inproceedings{icml2024_learning_45740,
  title = {{Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32712},
}

@inproceedings{icml2026_hierarchical_54926,
  title = {{Hierarchical Successor Representation for Robust Transfer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=txswvMHt4u},
}

@inproceedings{neurips2022_constrained_66176,
  title = {{Constrained GPI for Zero-Shot Transfer in Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53209},
}

@inproceedings{neurips2025_reward_75482,
  title = {{Reward-Aware Proto-Representations in Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=8WdkG7g6Az},
}

@inproceedings{neurips2023_a_66988,
  title = {{A State Representation for Diminishing Rewards}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72705},
}