% Key papers for Robust visual encoders for RL (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_deep_12173,
  title = {{Deep Reinforcement Learning-Based Image Captioning With Embedding Reward}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2020_reinforcement_60692,
  title = {{Reinforcement Learning with Augmented Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18015},
}

@inproceedings{aaai2021_improving_769,
  title = {{Improving Sample Efficiency in Model-Free Reinforcement Learning from Images}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10674-improving-sample-efficiency-in-model-free-reinforcement-learning-from-images/},
}

@inproceedings{iclr2020_network_29463,
  title = {{Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJgcvJBFvB},
}

@inproceedings{icml2021_decoupling_39210,
  title = {{Decoupling Representation Learning from Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10141},
}

@inproceedings{aaai2019_fully_101548,
  title = {{Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4240},
}

@inproceedings{icml2019_transfer_37820,
  title = {{Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3859},
}

@inproceedings{iclr2017_learning_28349,
  title = {{Learning Visual Servoing with Deep Features and Fitted Q-Iteration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=r1YNw6sxg},
}

@inproceedings{cvpr2020_pads_16005,
  title = {{PADS: Policy-Adapted Sampling for Visual Similarity Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_improving_60063,
  title = {{Improving Generalization in Reinforcement Learning with Mixture Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18498},
}

@inproceedings{neurips2021_mastering_62098,
  title = {{Mastering Atari Games with Limited Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27531},
}

@inproceedings{neurips2021_stabilizing_63611,
  title = {{Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27105},
}

@inproceedings{cvpr2021_unsupervised_18097,
  title = {{Unsupervised Visual Attention and Invariance for Reinforcement Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2021_automatic_61729,
  title = {{Automatic Data Augmentation for Generalization in Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28632},
}

@inproceedings{aaai2021_self_1354,
  title = {{Self-Supervised Attention-Aware Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10311-self-supervised-attention-aware-reinforcement-learning/},
}

@inproceedings{aaai2021_metaaugment_988,
  title = {{MetaAugment: Sample-Aware Data Augmentation Policy Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11097-metaaugment-sample-aware-data-augmentation-policy-learning/},
}

@inproceedings{neurips2022_mask_63677,
  title = {{Mask-based Latent Reconstruction for Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54345},
}

@inproceedings{icml2022_reinforcement_41078,
  title = {{Reinforcement Learning with Action-Free Pre-Training from Videos}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17409},
}

@inproceedings{neurips2022_pre_64397,
  title = {{Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54428},
}

@inproceedings{aaai2021_visual_1620,
  title = {{Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09454-visual-transfer-for-reinforcement-learning-via-wasserstein-domain-confusion/},
}

@inproceedings{aaai2024_what_7809,
  title = {{What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28369},
}

@inproceedings{cvpr2024_recore_24583,
  title = {{ReCoRe: Regularized Contrastive Representation Learning of World Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29182},
}

@inproceedings{iclr2024_revisiting_33964,
  title = {{Revisiting Data Augmentation in Deep Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19111},
}

@inproceedings{iclr2024_drm_34254,
  title = {{DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18821},
}

@inproceedings{neurips2024_focus_74463,
  title = {{Focus On What Matters: Separated Models For Visual-Based RL Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93111},
}

@inproceedings{aaai2025_efficient_8916,
  title = {{Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34426},
}

@inproceedings{neurips2024_the_71726,
  title = {{The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95560},
}

@inproceedings{neurips2024_generalizing_71763,
  title = {{Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95526},
}

@inproceedings{aaai2024_focus_6036,
  title = {{Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29002},
}

@inproceedings{aaai2025_visual_11257,
  title = {{Visual Reinforcement Learning with Residual Action}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34097},
}

@inproceedings{iclr2024_revisiting_33461,
  title = {{Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19614},
}

@inproceedings{neurips2024_dmc_70151,
  title = {{DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97877},
}

@inproceedings{neurips2025_leveraging_75151,
  title = {{Leveraging Conditional Dependence for Efficient World Model Denoising}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=4pe5ZNNJyG},
}

@inproceedings{aaai2026_improving_100487,
  title = {{Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37334},
}

@inproceedings{aaai2025_fourier_9227,
  title = {{Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33992},
}

@inproceedings{aaai2025_when_11295,
  title = {{When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33604},
}

@inproceedings{icml2024_investigating_44302,
  title = {{Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34150},
}

@inproceedings{icml2024_sit_44448,
  title = {{SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34004},
}

@inproceedings{icml2025_zero_48362,
  title = {{Zero Shot Generalization of Vision-Based RL Without Data Augmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44254},
}

@inproceedings{icml2026_pamd_50039,
  title = {{PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=8RKz8AONGV},
}