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

@inproceedings{icml2020_deep_38084,
  title = {{Deep Coordination Graphs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6007},
}

@inproceedings{iclr2020_cm3_29596,
  title = {{CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1lEX04tPr},
}

@inproceedings{icml2020_evolutionary_38178,
  title = {{Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5872},
}

@inproceedings{aaai2022_concentration_1856,
  title = {{Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09341-concentration-network-for-reinforcement-learning-of-large-scale-multi-agent-systems/},
}

@inproceedings{icml2018_learning_36811,
  title = {{Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2177},
}

@inproceedings{aaai2016_solving_105352,
  title = {{Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10405},
}

@inproceedings{icml2021_randomized_39853,
  title = {{Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10527},
}

@inproceedings{aaai2023_models_4180,
  title = {{Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26241},
}

@inproceedings{iclr2020_action_29878,
  title = {{Action Semantics Network: Considering the Effects of Actions in Multiagent Systems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=ryg48p4tPH},
}

@inproceedings{aaai2017_bounding_106050,
  title = {{Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11037},
}

@inproceedings{aaai2016_multi_105156,
  title = {{Multi-Variable Agents Decomposition for DCOPs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10127},
}

@inproceedings{neurips2021_delayed_61664,
  title = {{Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26576},
}

@inproceedings{aaai2023_hierarchical_3835,
  title = {{Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26387},
}

@inproceedings{cvpr2023_multi_21604,
  title = {{Multi-Agent Automated Machine Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21709},
}

@inproceedings{iclr2022_context_31821,
  title = {{Context-Aware Sparse Deep Coordination Graphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6580},
}

@inproceedings{iclr2022_multi_31087,
  title = {{Multi-Agent MDP Homomorphic Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6821},
}

@inproceedings{icml2021_towards_40045,
  title = {{Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10713},
}

@inproceedings{icml2024_locally_45101,
  title = {{Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33351},
}

@inproceedings{aaai2019_successor_102675,
  title = {{Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4561},
}

@inproceedings{aaai2021_dec_363,
  title = {{Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11282-dec-sgts-decentralized-sub-goal-tree-search-for-multi-agent-coordination/},
}

@inproceedings{aaai2024_factored_5948,
  title = {{Factored Online Planning in Many-Agent POMDPs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29689},
}

@inproceedings{aaai2025_gradient_9359,
  title = {{Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33566},
}

@inproceedings{neurips2025_malinzero_77255,
  title = {{MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Rxdon7jWni},
}

@inproceedings{aaai2026_achieving_107844,
  title = {{Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40196},
}

@inproceedings{icml2024_open_44411,
  title = {{Open Ad Hoc Teamwork with Cooperative Game Theory}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34041},
}

@inproceedings{icml2024_multi_44480,
  title = {{Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33972},
}

@inproceedings{icml2026_nonzero_51201,
  title = {{NonZero: Interaction-Guided Exploration for Multi-Agent Monte Carlo Tree Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Jh6gq9QsFa},
}

@inproceedings{icml2026_learning_53635,
  title = {{Learning Multi-Agent Coordination via Sheaf-ADMM}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=hGeKiXnUIT},
}

@inproceedings{neurips2025_regret_79066,
  title = {{Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=lDh9wSb9nP},
}

@inproceedings{neurips2025_cognac_79108,
  title = {{COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=lmRXJZXCNL},
}

@inproceedings{iclr2025_near_83092,
  title = {{Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28714},
}

@inproceedings{iclr2025_trajectory_83866,
  title = {{Trajectory-Class-Aware Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27954},
}

@inproceedings{neurips2026_decentralized_89772,
  title = {{Decentralized Ranking Aggregation via Gossip: Convergence and Robustness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151288},
}

@inproceedings{neurips2026_cosac_91255,
  title = {{COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150611},
}

@inproceedings{aaai2026_padiff_106771,
  title = {{PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39078},
}

@inproceedings{icml2024_scalable_44379,
  title = {{Scalable Safe Policy Improvement for Factored Multi-Agent MDPs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34073},
}

@inproceedings{icml2026_tactic_49301,
  title = {{TACTIC: Task-Aware Sparse Coordination Graphs for Multi-Task Multi-agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=1AsU8u2tmC},
}

@inproceedings{icml2026_learning_54284,
  title = {{Learning Disentangled Multi-Agent World Model for Decentralized Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=nYyfpPubnW},
}

@inproceedings{iclr2026_correlated_86776,
  title = {{Correlated Policy Optimization in Multi-Agent Subteams}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Tke3BVwUz6},
}