% Key papers for Decision Transformer sequence models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2021_decision_62611,
  title = {{Decision Transformer: Reinforcement Learning via Sequence Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27886},
}

@inproceedings{iclr2023_is_33275,
  title = {{Is Conditional Generative Modeling all you need for Decision Making?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11025},
}

@inproceedings{aaai2024_critic_5522,
  title = {{Critic-Guided Decision Transformer for Offline Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29499},
}

@inproceedings{icml2022_prompting_41038,
  title = {{Prompting Decision Transformer for Few-Shot Policy Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18153},
}

@inproceedings{aaai2024_act_5087,
  title = {{ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29101},
}

@inproceedings{icml2023_q_41635,
  title = {{Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24089},
}

@inproceedings{icml2023_chipformer_42774,
  title = {{ChiPFormer: Transferable Chip Placement via Offline Decision Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25027},
}

@inproceedings{iclr2021_autoregressive_30585,
  title = {{Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2845},
}

@inproceedings{neurips2022_you_65406,
  title = {{You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53614},
}

@inproceedings{iclr2022_generalized_31002,
  title = {{Generalized Decision Transformer for Offline Hindsight Information Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6141},
}

@inproceedings{icml2022_addressing_40228,
  title = {{Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16929},
}

@inproceedings{icml2024_q_45379,
  title = {{Q-value Regularized Transformer for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33072},
}

@inproceedings{iclr2023_dichotomy_32252,
  title = {{Dichotomy of Control: Separating What You Can Control from What You Cannot}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10943},
}

@inproceedings{neurips2023_conformal_68360,
  title = {{Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71449},
}

@inproceedings{cvpr2025_decision_25872,
  title = {{Decision SpikeFormer: Spike-Driven Transformer for Decision Making}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32864},
}

@inproceedings{icml2023_future_41674,
  title = {{Future-conditioned Unsupervised Pretraining for Decision Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23627},
}

@inproceedings{icml2023_masked_42248,
  title = {{Masked Trajectory Models for Prediction, Representation, and Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23703},
}

@inproceedings{neurips2022_uni_64461,
  title = {{Uni[MASK]: Unified Inference in Sequential Decision Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52812},
}

@inproceedings{neurips2023_waypoint_67241,
  title = {{Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72475},
}

@inproceedings{neurips2024_reinforcement_70544,
  title = {{Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96569},
}

@inproceedings{neurips2025_value_76932,
  title = {{Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Ogml5bxDH3},
}

@inproceedings{iclr2024_transformers_35652,
  title = {{Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17421},
}

@inproceedings{icml2024_harmodt_43335,
  title = {{HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35117},
}

@inproceedings{neurips2024_learning_70128,
  title = {{Learning Versatile Skills with Curriculum Masking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96950},
}

@inproceedings{iclr2024_free_33732,
  title = {{Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19343},
}

@inproceedings{icml2024_temporal_43573,
  title = {{Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34879},
}

@inproceedings{icml2025_unveiling_46712,
  title = {{Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45860},
}

@inproceedings{icml2025_in_48033,
  title = {{In-Context Reinforcement Learning From Suboptimal Historical Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44574},
}

@inproceedings{icml2026_drive_51296,
  title = {{DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Kgi3mAuXuD},
}

@inproceedings{neurips2025_less_78506,
  title = {{Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fXG1BvwqGt},
}

@inproceedings{neurips2025_rebalancing_80307,
  title = {{Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=yGf8DSwR09},
}

@inproceedings{iclr2025_top_81881,
  title = {{TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29902},
}

@inproceedings{iclr2026_resched_88884,
  title = {{RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=s5pWbwf2tk},
}

@inproceedings{neurips2026_transformers_92468,
  title = {{Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154590},
}

@inproceedings{neurips2026_from_94631,
  title = {{From Weak Data to Strong Policy: Q-Targets Enable Provable In-Context Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152260},
}