Mazumdar, Eric

Article from CaltechAUTHORS

• Mazumdar, Eric and Sastry, S. Shankar, el al. (2025) On Finding Local Nash Equilibria (and only Local Nash Equilibria) in Zero-Sum Games; ACM / IMS Journal of Data Science; 10.1145/3728479
• Xu, Pan and Zheng, Hongkai, el al. (2022) Langevin Monte Carlo for Contextual Bandits; Proceedings of Machine Learning Research; Vol. 162; 24830-24850; 10.48550/arXiv.arXiv.2206.11254
• Chasnov, Benjamin and Ratliff, Lillian, el al. (2020) Convergence Analysis of Gradient-Based Learning in Continuous Games; Proceedings of Machine Learning Research; Vol. 115; 935-944
• Ratliff, Lillian J. and Mazumdar, Eric (2020) Inverse Risk-Sensitive Reinforcement Learning; IEEE Transactions on Automatic Control; Vol. 65; No. 3; 1256-1263; 10.1109/TAC.2019.2926674
• Mazumdar, Eric and Ratliff, Lillian J., el al. (2020) On Gradient-Based Learning in Continuous Games; SIAM Journal on Mathematics of Data Science; Vol. 2; No. 1; 103-131; 10.1137/18m1231298