% Key papers for Graph search and compositional goals (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_planning_58802,
  title = {{Planning with Goal-Conditioned Policies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14393},
}

@inproceedings{neurips2020_rewriting_60724,
  title = {{Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16823},
}

@inproceedings{icml2021_goal_39396,
  title = {{Goal-Conditioned Reinforcement Learning with Imagined Subgoals}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10147},
}

@inproceedings{neurips2022_contrastive_66304,
  title = {{Contrastive Learning as Goal-Conditioned Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54770},
}

@inproceedings{aaai2021_inverse_809,
  title = {{Inverse Reinforcement Learning with Natural Language Goals}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11116-inverse-reinforcement-learning-with-natural-language-goals/},
}

@inproceedings{icml2021_world_40124,
  title = {{World Model as a Graph: Learning Latent Landmarks for Planning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10063},
}

@inproceedings{iclr2021_grounding_30472,
  title = {{Grounding Language to Autonomously-Acquired Skills via Goal Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3190},
}

@inproceedings{neurips2022_generalizing_66481,
  title = {{Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53850},
}

@inproceedings{aaai2022_efficient_2021,
  title = {{Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11667-efficient-dialog-policy-learning-by-reasoning-with-contextual-knowledge/},
}

@inproceedings{icml2020_sub_38818,
  title = {{Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6389},
}

@inproceedings{aaai2023_metric_4150,
  title = {{Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26058},
}

@inproceedings{icml2022_bisimulation_40289,
  title = {{Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17501},
}

@inproceedings{neurips2022_eager_66183,
  title = {{EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52817},
}

@inproceedings{iclr2022_c_31141,
  title = {{C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6882},
}

@inproceedings{icml2021_variational_40101,
  title = {{Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10367},
}

@inproceedings{neurips2023_hiql_68750,
  title = {{HIQL: Offline Goal-Conditioned RL with Latent States as Actions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71099},
}

@inproceedings{aaai2023_goal_3784,
  title = {{Goal-Conditioned Generators of Deep Policies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25912},
}

@inproceedings{neurips2021_successor_63260,
  title = {{Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26672},
}

@inproceedings{neurips2022_learning_64194,
  title = {{Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53834},
}

@inproceedings{neurips2022_offline_65349,
  title = {{Offline Goal-Conditioned Reinforcement Learning via \$f\$-Advantage Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53758},
}

@inproceedings{iclr2024_stabilizing_34628,
  title = {{Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18446},
}

@inproceedings{neurips2024_goal_71606,
  title = {{Goal-Conditioned On-Policy Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95665},
}

@inproceedings{neurips2025_offline_76965,
  title = {{Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=P23UMiw7iJ},
}

@inproceedings{neurips2025_learning_78699,
  title = {{Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=hTZ0SJCGQX},
}

@inproceedings{iclr2024_closing_35350,
  title = {{Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17723},
}

@inproceedings{icml2024_foundation_44178,
  title = {{Foundation Policies with Hilbert Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34274},
}

@inproceedings{icml2025_the_46148,
  title = {{The Synergy of LLMs \& RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46412},
}

@inproceedings{icml2026_qhyer_51448,
  title = {{QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=MGrOId7zTe},
}

@inproceedings{icml2026_compositional_51676,
  title = {{Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=OjXimqfwlX},
}

@inproceedings{icml2026_test_54212,
  title = {{Test-Time Graph Search for Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=mxXm8jqgds},
}

@inproceedings{icml2026_latent_54408,
  title = {{Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=oddGER4AzK},
}

@inproceedings{icml2026_action_54724,
  title = {{Action-Sufficient Goal Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rwwJbBpFOV},
}

@inproceedings{neurips2024_goal_72652,
  title = {{Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94732},
}

@inproceedings{neurips2025_automaton_75899,
  title = {{Automaton Constrained Q-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DLt2Ep1S3q},
}

@inproceedings{neurips2025_flattening_76557,
  title = {{Flattening Hierarchies with Policy Bootstrapping}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KaD2Dw8Ahz},
}

@inproceedings{neurips2025_imagine_77751,
  title = {{Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=XEGDKcoQQ1},
}

@inproceedings{neurips2025_option_78630,
  title = {{Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=gfXBNBKx02},
}

@inproceedings{iclr2025_horizon_81189,
  title = {{Horizon Generalization in Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30581},
}

@inproceedings{iclr2026_occupancy_85449,
  title = {{Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=EW8DskWQ1K},
}

@inproceedings{neurips2026_sagas_93021,
  title = {{SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152343},
}