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

@inproceedings{aaai2018_counterfactual_102527,
  title = {{Counterfactual Multi-Agent Policy Gradients}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11794},
}

@inproceedings{neurips2017_multi_56484,
  title = {{Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9408},
}

@inproceedings{icml2019_actor_37128,
  title = {{Actor-Attention-Critic for Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4199},
}

@inproceedings{icml2017_deep_36131,
  title = {{Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/845},
}

@inproceedings{aaai2020_multi_102716,
  title = {{Multi-Agent Actor-Critic with Hierarchical Graph Attention Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6214},
}

@inproceedings{neurips2021_facmac_62423,
  title = {{FACMAC: Factored Multi-Agent Centralised Policy Gradients}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26228},
}

@inproceedings{aaai2021_decentralized_368,
  title = {{Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08767-decentralized-policy-gradient-descent-ascent-for-safe-multi-agent-reinforcement-learning/},
}

@inproceedings{neurips2019_multi_58626,
  title = {{Multi-Agent Common Knowledge Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14017},
}

@inproceedings{iclr2021_learning_30273,
  title = {{Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2820},
}

@inproceedings{icml2019_finite_37374,
  title = {{Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3727},
}

@inproceedings{neurips2020_learning_60172,
  title = {{Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17687},
}

@inproceedings{iclr2021_dop_30013,
  title = {{DOP: Off-Policy Multi-Agent Decomposed Policy Gradients}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2751},
}

@inproceedings{aaai2023_consensus_3309,
  title = {{Consensus Learning for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26385},
}

@inproceedings{aaai2023_haven_3812,
  title = {{HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26386},
}

@inproceedings{neurips2019_gossip_58344,
  title = {{Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14270},
}

@inproceedings{neurips2020_shared_60821,
  title = {{Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17727},
}

@inproceedings{neurips2017_dynamic_56275,
  title = {{Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8811},
}

@inproceedings{icml2021_learning_39520,
  title = {{Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9253},
}

@inproceedings{neurips2019_a_57842,
  title = {{A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14560},
}

@inproceedings{neurips2019_learning_58481,
  title = {{Learning Fairness in Multi-Agent Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14316},
}

@inproceedings{aaai2024_intrinsic_6350,
  title = {{Intrinsic Action Tendency Consistency 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/29711},
}

@inproceedings{aaai2025_scalable_10672,
  title = {{Scalable Decentralized Algorithms for Online Personalized Mean Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33835},
}

@inproceedings{aaai2024_tape_7468,
  title = {{TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29699},
}

@inproceedings{aaai2025_agentmixer_8073,
  title = {{AgentMixer: Multi-Agent Correlated Policy Factorization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34048},
}

@inproceedings{aaai2025_optimally_10214,
  title = {{Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34494},
}

@inproceedings{icml2024_optimistic_44217,
  title = {{Optimistic Multi-Agent Policy Gradient}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34235},
}

@inproceedings{icml2026_automata_52746,
  title = {{Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Yi1W13sPsR},
}

@inproceedings{neurips2025_in_75189,
  title = {{In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=5J4IpiMKkq},
}

@inproceedings{neurips2025_towards_77752,
  title = {{Towards Principled Unsupervised Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=XF1OzY8mEI},
}

@inproceedings{neurips2025_effective_78845,
  title = {{Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=isAYKdLwtB},
}

@inproceedings{neurips2025_misodice_79026,
  title = {{MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=krG6UHAvYr},
}

@inproceedings{aaai2025_towards_11040,
  title = {{Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33813},
}

@inproceedings{icml2026_local_52298,
  title = {{Local Policies for Graph-Structured Markov Decision Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=UToRC7HNG1},
}

@inproceedings{icml2026_secure_53161,
  title = {{Secure Multi-agent Reinforcement Learning for Service Systems with Affinity and Byzantine Nodes: Stability Analysis and Protection Design}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=cgg0hpUGZB},
}

@inproceedings{iclr2025_reconstruction_82526,
  title = {{Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29270},
}

@inproceedings{iclr2025_ma_83248,
  title = {{MA\$^2\$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28562},
}

@inproceedings{neurips2026_safe_89900,
  title = {{Safe-Fair MACPO: Burden-Fair Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151944},
}

@inproceedings{neurips2026_submodular_93524,
  title = {{Submodular Multi-Agent Reinforcement Learning for Effective Online Distributed Task Allocation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149944},
}