% Key papers for Last-iterate convergence in games (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2017_learning_56447,
  title = {{Learning with Bandit Feedback in Potential Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9407},
}

@inproceedings{neurips2018_bandit_56890,
  title = {{Bandit Learning in Concave N-Person Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11552},
}

@inproceedings{aaai2021_faster_607,
  title = {{Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/05363-faster-game-solving-via-predictive-blackwell-approachability-connecting-regret-matching-and-mirror-descent/},
}

@inproceedings{neurips2019_fast_58267,
  title = {{Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14245},
}

@inproceedings{neurips2020_tight_60975,
  title = {{Tight last-iterate convergence rates for no-regret learning in multi-player games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18447},
}

@inproceedings{icml2019_competing_37233,
  title = {{Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3866},
}

@inproceedings{icml2020_gradient_38260,
  title = {{Gradient-free Online Learning in Continuous Games with Delayed Rewards}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6416},
}

@inproceedings{aaai2022_learning_2350,
  title = {{Learning to Identify Top Elo Ratings: A Dueling Bandits Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08797-learning-to-identify-top-elo-ratings-a-dueling-bandits-approach/},
}

@inproceedings{aaai2021_bandit_185,
  title = {{Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/05372-bandit-linear-optimization-for-sequential-decision-making-and-extensive-form-games/},
}

@inproceedings{iclr2022_when_30884,
  title = {{When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7074},
}

@inproceedings{neurips2018_multiplicative_57409,
  title = {{Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11354},
}

@inproceedings{neurips2020_cooperative_59604,
  title = {{Cooperative Multi-player Bandit Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17852},
}

@inproceedings{neurips2020_learning_60233,
  title = {{Learning to Play Sequential Games versus Unknown Opponents}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18582},
}

@inproceedings{neurips2021_learning_61212,
  title = {{Learning in two-player zero-sum partially observable Markov games with perfect recall}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27405},
}

@inproceedings{neurips2022_near_64987,
  title = {{Near-Optimal No-Regret Learning Dynamics for General Convex Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52802},
}

@inproceedings{icml2022_near_40869,
  title = {{Near-Optimal Learning of Extensive-Form Games with Imperfect Information}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17471},
}

@inproceedings{neurips2023_logarithmic_66871,
  title = {{Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72771},
}

@inproceedings{aaai2020_path_100910,
  title = {{Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5602},
}

@inproceedings{icml2022_no_40897,
  title = {{No-Regret Learning in Time-Varying Zero-Sum Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16315},
}

@inproceedings{icml2023_online_42240,
  title = {{Online Learning in Stackelberg Games with an Omniscient Follower}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24330},
}

@inproceedings{neurips2024_no_71426,
  title = {{No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95828},
}

@inproceedings{icml2024_online_43448,
  title = {{Online Learning with Bounded Recall}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35004},
}

@inproceedings{icml2025_the_47168,
  title = {{The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45419},
}

@inproceedings{icml2026_achieving_50879,
  title = {{Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=GcCBoFM8u9},
}

@inproceedings{icml2026_learning_51205,
  title = {{Learning in Bayesian Stackelberg Games With Unknown Follower's Types}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=JidATZ8SuW},
}

@inproceedings{icml2026_learning_52648,
  title = {{Learning in Structured Stackelberg Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=XrKzHGg2jB},
}

@inproceedings{neurips2024_on_70590,
  title = {{On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96527},
}

@inproceedings{neurips2024_extensive_70761,
  title = {{Extensive-Form Game Solving via Blackwell Approachability on Treeplexes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96365},
}

@inproceedings{neurips2024_learning_71808,
  title = {{Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95488},
}

@inproceedings{neurips2025_learning_76083,
  title = {{Learning from Delayed Feedback in Games via Extra Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=FFEFRQGlsS},
}

@inproceedings{neurips2025_uncoupled_76875,
  title = {{Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NsPilIfypy},
}

@inproceedings{neurips2025_theoretical_78385,
  title = {{Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=e5QEGDVsqn},
}

@inproceedings{iclr2026_learning_84958,
  title = {{Learning to Play Multi-Follower Bayesian Stackelberg Games}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=8hMaqBagPd},
}

@inproceedings{iclr2026_learning_84979,
  title = {{Learning a Game by Paying the Agents}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=8yRtP2n8OK},
}

@inproceedings{iclr2026_online_88336,
  title = {{Online Learning and Equilibrium Computation with Ranking Feedback}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=lg6H2oJPky},
}

@inproceedings{neurips2026_no_90184,
  title = {{No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155286},
}

@inproceedings{neurips2026_near_93980,
  title = {{Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154870},
}

@inproceedings{icml2025_learning_46716,
  title = {{Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45856},
}

@inproceedings{icml2025_learning_48133,
  title = {{Learning to Steer Learners in Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44476},
}

@inproceedings{icml2026_doubly_54027,
  title = {{(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=l6KZJO7w48},
}