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

@inproceedings{neurips2019_decentralized_58091,
  title = {{Decentralized Cooperative Stochastic Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13606},
}

@inproceedings{aaai2021_federated_612,
  title = {{Federated Multi-Armed Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09603-federated-multi-armed-bandits/},
}

@inproceedings{neurips2019_individual_58409,
  title = {{Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13492},
}

@inproceedings{neurips2021_fair_61574,
  title = {{Fair Algorithms for Multi-Agent Multi-Armed Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28549},
}

@inproceedings{neurips2019_sic_58930,
  title = {{SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14606},
}

@inproceedings{neurips2018_distributed_57058,
  title = {{Distributed Multi-Player Bandits - a Game of Thrones Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11695},
}

@inproceedings{neurips2021_fair_61766,
  title = {{Fair Exploration via Axiomatic Bargaining}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27339},
}

@inproceedings{neurips2021_cooperative_61852,
  title = {{Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27124},
}

@inproceedings{iclr2020_distributed_29660,
  title = {{Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJxZnR4YvB},
}

@inproceedings{neurips2021_heterogeneous_63226,
  title = {{Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27960},
}

@inproceedings{icml2020_cooperative_38059,
  title = {{Cooperative Multi-Agent Bandits with Heavy Tails}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5806},
}

@inproceedings{aaai2024_decentralized_5613,
  title = {{Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29306},
}

@inproceedings{aaai2023_an_3099,
  title = {{An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25985},
}

@inproceedings{icml2016_multi_35912,
  title = {{Multi-Player Bandits – a Musical Chairs Approach}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/rosenski16.html},
}

@inproceedings{icml2020_my_38486,
  title = {{My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5766},
}

@inproceedings{aaai2023_decentralized_3415,
  title = {{Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26251},
}

@inproceedings{aaai2024_communication_5435,
  title = {{Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29206},
}

@inproceedings{aaai2024_finite_6025,
  title = {{Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29193},
}

@inproceedings{icml2023_competing_42057,
  title = {{Competing for Shareable Arms in Multi-Player Multi-Armed Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25159},
}

@inproceedings{neurips2023_decentralized_67380,
  title = {{Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72349},
}

@inproceedings{aaai2025_heterogeneous_9420,
  title = {{Heterogeneous Multi-Agent Bandits with Parsimonious Hints}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34143},
}

@inproceedings{neurips2025_federated_79305,
  title = {{Federated Multi-armed Bandits with Efficient Bit-Level Communications}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=o3x3RV8XHd},
}

@inproceedings{aaai2026_robust_106992,
  title = {{Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39344},
}

@inproceedings{icml2024_federated_45253,
  title = {{Federated Combinatorial Multi-Agent Multi-Armed Bandits}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33199},
}

@inproceedings{neurips2024_no_70197,
  title = {{No-Regret Learning for Fair Multi-Agent Social Welfare Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96887},
}

@inproceedings{neurips2024_optimizing_70993,
  title = {{Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96213},
}

@inproceedings{neurips2024_honor_71918,
  title = {{Honor Among Bandits: No-Regret Learning for Online Fair Division}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95386},
}

@inproceedings{neurips2025_protocols_75147,
  title = {{Protocols for Verifying Smooth Strategies in Bandits and Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=4nDqyCS3h2},
}

@inproceedings{neurips2025_distributed_78025,
  title = {{Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=aI3Oacoyi6},
}

@inproceedings{neurips2025_individual_78952,
  title = {{Individual Regret in Cooperative Stochastic Multi-Armed Bandits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=k4wAXbEPD6},
}

@inproceedings{aaai2026_fair_107598,
  title = {{Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39950},
}

@inproceedings{aaai2026_multiple_108650,
  title = {{Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41002},
}

@inproceedings{icml2025_optimal_48190,
  title = {{Optimal Algorithm for Max-Min Fair Bandit}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44421},
}

@inproceedings{iclr2026_a_86084,
  title = {{A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Lkndkxeemx},
}