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Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.

, , , , and . NeurIPS, page 29049-29063. (2021)

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Minimax Optimization with Smooth Algorithmic Adversaries., , , and . ICLR, OpenReview.net, (2022)Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms., , , , and . AAAI, page 9217-9224. AAAI Press, (2022)Optimizing curbside parking resources subject to congestion constraints., , , and . CDC, page 5080-5085. IEEE, (2017)Adaptive Incentive Design., and . IEEE Trans. Autom. Control., 66 (8): 3871-3878 (2021)Data Driven Spatio-Temporal Modeling of Parking Demand., , , and . ACC, page 2757-2762. IEEE, (2018)Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice., , , , and . WWW, page 3586-3597. ACM, (2024)Minimax Optimization with Smooth Algorithmic Adversaries., , , and . CoRR, (2021)Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3133-3144. PMLR, (2020)Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games., , , , and . NeurIPS, page 29049-29063. (2021)Gradient-based inverse risk-sensitive reinforcement learning., , , and . CDC, page 5796-5801. IEEE, (2017)