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

@inproceedings{aaai2019_robust_101621,
  title = {{Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4327},
}

@inproceedings{neurips2018_multi_57395,
  title = {{Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11917},
}

@inproceedings{neurips2021_multi_62915,
  title = {{Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26401},
}

@inproceedings{iclr2020_multi_29732,
  title = {{Multi-agent Reinforcement Learning for Networked System Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Syx7A3NFvH},
}

@inproceedings{neurips2021_celebrating_61631,
  title = {{Celebrating Diversity in Shared Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28221},
}

@inproceedings{aaai2023_effective_3539,
  title = {{Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26390},
}

@inproceedings{aaai2023_quantum_4452,
  title = {{Quantum Multi-Agent Meta Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26313},
}

@inproceedings{icml2020_roma_38667,
  title = {{ROMA: Multi-Agent Reinforcement Learning with Emergent Roles}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5924},
}

@inproceedings{aaai2023_ace_3036,
  title = {{ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26028},
}

@inproceedings{icml2019_grid_37414,
  title = {{Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3838},
}

@inproceedings{neurips2020_robust_60735,
  title = {{Robust Multi-Agent Reinforcement Learning with Model Uncertainty}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18342},
}

@inproceedings{aaai2021_resilient_1268,
  title = {{Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11308-resilient-multi-agent-reinforcement-learning-with-adversarial-value-decomposition/},
}

@inproceedings{neurips2019_efficient_58185,
  title = {{Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13503},
}

@inproceedings{neurips2021_settling_62971,
  title = {{Settling the Variance of Multi-Agent Policy Gradients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26932},
}

@inproceedings{icml2021_scalable_39922,
  title = {{Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9947},
}

@inproceedings{neurips2022_ldsa_64559,
  title = {{LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54312},
}

@inproceedings{aaai2021_coordination_329,
  title = {{Coordination Between Individual Agents in Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11387-coordination-between-individual-agents-in-multi-agent-reinforcement-learning/},
}

@inproceedings{aaai2023_robust_4549,
  title = {{Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26388},
}

@inproceedings{neurips2021_regularized_61598,
  title = {{Regularized Softmax Deep Multi-Agent Q-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27473},
}

@inproceedings{aaai2024_leveraging_6527,
  title = {{Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29709},
}

@inproceedings{aaai2024_situation_7349,
  title = {{Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29684},
}

@inproceedings{aaai2024_cautiously_5388,
  title = {{Cautiously-Optimistic Knowledge Sharing 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/29677},
}

@inproceedings{aaai2024_portal_6901,
  title = {{PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29524},
}

@inproceedings{iclr2025_pogema_80886,
  title = {{POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30881},
}

@inproceedings{aaai2025_novelty_10133,
  title = {{Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33749},
}

@inproceedings{aaai2025_srsv_10829,
  title = {{SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34500},
}

@inproceedings{iclr2024_efficient_34224,
  title = {{Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18851},
}

@inproceedings{iclr2024_maximum_35470,
  title = {{Maximum Entropy Heterogeneous-Agent Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17603},
}

@inproceedings{icml2024_major_45300,
  title = {{Major-Minor Mean Field Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33152},
}

@inproceedings{aaai2024_decomposing_5622,
  title = {{Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29713},
}

@inproceedings{iclr2024_byzantine_35681,
  title = {{Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17392},
}

@inproceedings{icml2024_controlling_45460,
  title = {{Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32991},
}

@inproceedings{neurips2025_adaptive_75097,
  title = {{Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=4BsrGHtvW5},
}

@inproceedings{aaai2026_hcpo_107847,
  title = {{HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40199},
}

@inproceedings{aaai2025_investigating_9602,
  title = {{Investigating Relational State Abstraction in Collaborative MARL}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35390},
}

@inproceedings{iclr2024_efficient_33915,
  title = {{Efficient Multi-agent Reinforcement Learning by Planning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19160},
}

@inproceedings{icml2024_lagma_45042,
  title = {{LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33410},
}

@inproceedings{icml2025_r3dm_47530,
  title = {{R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45066},
}

@inproceedings{neurips2024_learning_71115,
  title = {{Learning Distinguishable Trajectory Representation with Contrastive Loss}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96102},
}