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

@inproceedings{icml2018_qmix_36942,
  title = {{QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2389},
}

@inproceedings{icml2019_qtran_37674,
  title = {{QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3987},
}

@inproceedings{iclr2021_qplex_30313,
  title = {{QPLEX: Duplex Dueling Multi-Agent Q-Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3237},
}

@inproceedings{aaai2021_value_1605,
  title = {{Value-Decomposition Multi-Agent Actor-Critics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11352-value-decomposition-multi-agent-actor-critics/},
}

@inproceedings{aaai2020_shapley_102722,
  title = {{Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6220},
}

@inproceedings{neurips2019_maven_58564,
  title = {{MAVEN: Multi-Agent Variational Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13842},
}

@inproceedings{neurips2020_weighted_61091,
  title = {{Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17886},
}

@inproceedings{aaai2023_contrastive_3325,
  title = {{Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26370},
}

@inproceedings{iclr2020_learning_29476,
  title = {{Learning Nearly Decomposable Value Functions Via Communication Minimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJx-3grYDB},
}

@inproceedings{neurips2021_rmix_61448,
  title = {{RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27971},
}

@inproceedings{aaai2020_smix_102724,
  title = {{SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6223},
}

@inproceedings{neurips2021_vast_62916,
  title = {{VAST: Value Function Factorization with Variable Agent Sub-Teams}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27293},
}

@inproceedings{neurips2021_towards_63229,
  title = {{Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27863},
}

@inproceedings{neurips2022_shaq_64261,
  title = {{SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54073},
}

@inproceedings{aaai2024_concaveq_5459,
  title = {{ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29695},
}

@inproceedings{aaai2024_decoding_5619,
  title = {{Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29666},
}

@inproceedings{icml2021_dfac_39190,
  title = {{DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9111},
}

@inproceedings{icml2021_uneven_40080,
  title = {{UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10297},
}

@inproceedings{aaai2019_determinantal_101675,
  title = {{Determinantal Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4390},
}

@inproceedings{icml2020_multi_38471,
  title = {{Multi-Agent Determinantal Q-Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5858},
}

@inproceedings{aaai2024_optimistic_6873,
  title = {{Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29694},
}

@inproceedings{neurips2024_the_70432,
  title = {{The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96673},
}

@inproceedings{aaai2026_beyond_106988,
  title = {{Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39340},
}

@inproceedings{icml2026_factored_53536,
  title = {{Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gNwwzeqPF0},
}

@inproceedings{neurips2024_inverse_74525,
  title = {{Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93057},
}

@inproceedings{neurips2025_multi_76407,
  title = {{Multi-agent Markov Entanglement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=IupCqXiiOE},
}

@inproceedings{iclr2026_retaining_86764,
  title = {{Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Tcw42NlBdw},
}

@inproceedings{iclr2026_potentially_87153,
  title = {{Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=YQ1muQBDV4},
}

@inproceedings{iclr2024_solving_34966,
  title = {{Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18108},
}

@inproceedings{neurips2026_interaction_94435,
  title = {{Interaction Value Inference for Multi-Agent Reinforcement Learning via a Hierarchical Agent-Centric World Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148672},
}