% Key papers for Goal-conditioned policy learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_visual_57772,
  title = {{Visual Reinforcement Learning with Imagined Goals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11876},
}

@inproceedings{neurips2019_curriculum_58072,
  title = {{Curriculum-guided Hindsight Experience Replay}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14214},
}

@inproceedings{iclr2019_from_29130,
  title = {{From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1040},
}

@inproceedings{icml2018_universal_37069,
  title = {{Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2340},
}

@inproceedings{icml2020_skew_38764,
  title = {{Skew-Fit: State-Covering Self-Supervised Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6516},
}

@inproceedings{iclr2018_unsupervised_28577,
  title = {{Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/309},
}

@inproceedings{iclr2021_learning_30127,
  title = {{Learning with AMIGo: Adversarially Motivated Intrinsic Goals}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2781},
}

@inproceedings{iclr2019_dher_28829,
  title = {{DHER: Hindsight Experience Replay for Dynamic Goals}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/775},
}

@inproceedings{iclr2019_infobot_29154,
  title = {{InfoBot: Transfer and Exploration via the Information Bottleneck}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1138},
}

@inproceedings{iclr2019_unsupervised_29118,
  title = {{Unsupervised Control Through Non-Parametric Discriminative Rewards}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/829},
}

@inproceedings{neurips2019_search_58956,
  title = {{Search on the Replay Buffer: Bridging Planning and Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14424},
}

@inproceedings{iclr2019_hindsight_28797,
  title = {{Hindsight policy gradients}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/891},
}

@inproceedings{iclr2023_vip_32742,
  title = {{VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11127},
}

@inproceedings{aaai2019_goal_101258,
  title = {{Goal-Oriented Dialogue Policy Learning from Failures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4107},
}

@inproceedings{neurips2019_mapping_58574,
  title = {{Mapping State Space using Landmarks for Universal Goal Reaching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13399},
}

@inproceedings{cvpr2021_hierarchical_17115,
  title = {{Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2021_model_30356,
  title = {{Model-Based Visual Planning with Self-Supervised Functional Distances}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2599},
}

@inproceedings{icml2020_goal_38256,
  title = {{Goal-Aware Prediction: Learning to Model What Matters}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6271},
}

@inproceedings{icml2022_goal_40633,
  title = {{Goal Misgeneralization in Deep Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18379},
}

@inproceedings{neurips2020_plangan_60585,
  title = {{PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18497},
}

@inproceedings{aaai2024_unveiling_7727,
  title = {{Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27815},
}

@inproceedings{neurips2024_goal_70468,
  title = {{Goal Conditioned Reinforcement Learning for Photo Finishing Tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96640},
}

@inproceedings{neurips2024_learning_72860,
  title = {{Learning World Models for Unconstrained Goal Navigation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94541},
}

@inproceedings{aaai2024_cluster_5406,
  title = {{Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30465},
}

@inproceedings{neurips2024_compositional_70584,
  title = {{Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96533},
}

@inproceedings{neurips2024_solving_73556,
  title = {{Solving Minimum-Cost Reach Avoid using Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93924},
}

@inproceedings{icml2024_learning_43380,
  title = {{Learning to Reach Goals via Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35072},
}

@inproceedings{icml2024_pclast_43691,
  title = {{PcLast: Discovering Plannable Continuous Latent States}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34761},
}

@inproceedings{icml2025_efficient_46552,
  title = {{Efficient Robotic Policy Learning via Latent Space Backward Planning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46016},
}

@inproceedings{icml2025_founder_47476,
  title = {{FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45117},
}

@inproceedings{icml2025_goal_47761,
  title = {{Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44839},
}

@inproceedings{icml2026_adaptive_52325,
  title = {{Adaptive Quasimetric Mapping : Principled Topological Abstraction for Robust Offline Goal-Conditioned Navigation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=UkaCBdE58o},
}

@inproceedings{neurips2024_pre_71125,
  title = {{Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96096},
}

@inproceedings{neurips2025_textit_78046,
  title = {{\$textitHyper-GoalNet\$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=aWWRPyGMie},
}

@inproceedings{iclr2025_physics_82244,
  title = {{Physics-informed Temporal Difference Metric Learning for Robot Motion Planning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29546},
}

@inproceedings{iclr2026_self_86701,
  title = {{Self-Improving Loops for Visual Robotic Planning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=SzUgx5r3wy},
}

@inproceedings{cvpr2026_goal_98088,
  title = {{Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wang_Goal-Driven_Reward_by_Video_Diffusion_Models_for_Reinforcement_Learning_CVPR_2026_paper.html},
}

@inproceedings{iclr2024_pre_35235,
  title = {{Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17838},
}

@inproceedings{icml2024_how_43631,
  title = {{How Does Goal Relabeling Improve Sample Efficiency?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34821},
}

@inproceedings{icml2025_improving_49041,
  title = {{Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43583},
}