% Key papers for Zero-sum game learning dynamics (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2017_heuristic_100956, title = {{Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10597}, } @inproceedings{aaai2016_graphical_104792, title = {{Graphical Hedonic Games of Bounded Treewidth}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10046}, } @inproceedings{iclr2020_a_29348, title = {{A Generalized Training Approach for Multiagent Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=Bkl5kxrKDr}, } @inproceedings{neurips2020_chaos_59527, title = {{Chaos, Extremism and Optimism: Volume Analysis of Learning in Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18444}, } @inproceedings{icml2017_reduced_36362, title = {{Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2017}, url = {https://icml.cc/virtual/2017/poster/862}, } @inproceedings{icml2021_from_39362, title = {{From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/9903}, } @inproceedings{aaai2021_double_463, title = {{Double Oracle Algorithm for Computing Equilibria in Continuous Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05070-double-oracle-algorithm-for-computing-equilibria-in-continuous-games/}, } @inproceedings{icml2017_regret_36363, title = {{Regret Minimization in Behaviorally-Constrained Zero-Sum Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2017}, url = {https://icml.cc/virtual/2017/poster/501}, } @inproceedings{neurips2018_solving_57634, title = {{Solving Large Sequential Games with the Excessive Gap Technique}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11108}, } @inproceedings{neurips2019_optimistic_58770, title = {{Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13660}, } @inproceedings{neurips2020_near_60384, title = {{Near-Optimal Reinforcement Learning with Self-Play}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18322}, } @inproceedings{neurips2020_no_60425, title = {{No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17016}, } @inproceedings{aaai2019_a_100178, title = {{A Memetic Approach for Sequential Security Games on a Plane with Moving Targets}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/3886}, } @inproceedings{aaai2017_tractable_100961, title = {{Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10602}, } @inproceedings{aaai2018_equilibrium_101005, title = {{Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11455}, } @inproceedings{neurips2020_pipeline_60583, title = {{Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18733}, } @inproceedings{neurips2021_fast_62528, title = {{Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28519}, } @inproceedings{aaai2018_a_101033, title = {{A Regression Approach for Modeling Games With Many Symmetric Players}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11483}, } @inproceedings{neurips2016_learning_55828, title = {{Learning Tree Structured Potential Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/6906}, } @inproceedings{aaai2021_computing_285, title = {{Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05813-computing-ex-ante-coordinated-team-maxmin-equilibria-in-zero-sum-multiplayer-extensive-form-games/}, } @inproceedings{aaai2024_learning_6446, title = {{Learning Discrete-Time Major-Minor Mean Field Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28818}, } @inproceedings{aaai2025_decentralized_8659, title = {{Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34481}, } @inproceedings{icml2024_solving_45310, title = {{Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33142}, } @inproceedings{neurips2024_learning_71036, title = {{Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96173}, } @inproceedings{aaai2026_learning_106460, title = {{Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38767}, } @inproceedings{aaai2025_approximate_8135, title = {{Approximate State Abstraction for Markov Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33930}, } @inproceedings{aaai2025_commitment_8464, title = {{Commitment to Sparse Strategies in Two-Player Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33474}, } @inproceedings{aaai2025_rapid_10460, title = {{Rapid Learning in Constrained Minimax Games with Negative Momentum}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33817}, } @inproceedings{icml2024_graphon_43561, title = {{Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34891}, } @inproceedings{icml2024_a_43571, title = {{A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34881}, } @inproceedings{icml2024_state_44821, title = {{State-Constrained Zero-Sum Differential Games with One-Sided Information}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33631}, } @inproceedings{icml2024_roping_45771, title = {{Roping in Uncertainty: Robustness and Regularization in Markov Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/32681}, } @inproceedings{icml2025_securing_48720, title = {{Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/43902}, } @inproceedings{icml2026_solving_50425, title = {{Solving Imperfect-Recall Games via Sum-of-Squares Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=CHIsZDgdb6}, } @inproceedings{icml2026_global_50530, title = {{Global Policy-Space Response Oracles for Two-Player Zero-Sum Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=DIytYt7tdI}, } @inproceedings{icml2026_a_53892, title = {{A Direct Second-Order Method for Solving Two-Player Zero-Sum Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=jn7gGAya5h}, } @inproceedings{neurips2024_decentralized_71636, title = {{Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95641}, } @inproceedings{neurips2024_accelerating_73141, title = {{Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94289}, } @inproceedings{neurips2025_the_75343, title = {{The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=75LMvs1CjG}, } @inproceedings{neurips2025_near_75770, title = {{Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=BqFXm4HO9p}, }