% Key papers for Counterfactual regret minimization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{icml2019_deep_37273, title = {{Deep Counterfactual Regret Minimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3751}, } @inproceedings{aaai2016_strategy_104802, title = {{Strategy-Based Warm Starting for Regret Minimization in Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10056}, } @inproceedings{iclr2020_double_29365, title = {{Double Neural Counterfactual Regret Minimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=ByedzkrKvH}, } @inproceedings{icml2019_stable_37753, title = {{Stable-Predictive Optimistic Counterfactual Regret Minimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3839}, } @inproceedings{aaai2021_model_999, title = {{Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05381-model-free-online-learning-in-unknown-sequential-decision-making-problems-and-games/}, } @inproceedings{aaai2022_autocfr_1761, title = {{AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/05244-autocfr-learning-to-design-counterfactual-regret-minimization-algorithms/}, } @inproceedings{iclr2020_lazy_29801, title = {{Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=rJx4p3NYDB}, } @inproceedings{icml2020_stochastic_38798, title = {{Stochastic Regret Minimization in Extensive-Form Games}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6605}, } @inproceedings{icml2022_equivalence_40506, title = {{Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/17863}, } @inproceedings{neurips2022_sample_64979, title = {{Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54739}, } @inproceedings{neurips2024_regret_74094, title = {{Regret Minimization in Stackelberg Games with Side Information}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93439}, } @inproceedings{aaai2026_faster_106459, title = {{Faster Game Solving via Asymmetry of Step Sizes}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38766}, } @inproceedings{aaai2026_deep_106473, title = {{Deep (Predictive) Discounted Counterfactual Regret Minimization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38780}, } @inproceedings{iclr2024_dynamic_33684, title = {{Dynamic Discounted Counterfactual Regret Minimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19391}, } @inproceedings{aaai2019_solving_100794, title = {{Solving Imperfect-Information Games via Discounted Regret Minimization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4007}, }