Bilevel Optimization: Stochastic Algorithms and Applications in Inverse Reinforcement Learning
57:34
YouTubeRPI Seminars MIDO
Bilevel Optimization: Stochastic Algorithms and Applications in Inverse Reinforcement Learning
Bilevel Optimization is a class of optimization problem that has two levels of nested optimization subproblems. It can be used to model applications arising in areas such as signal processing, machine learning, game theory, etc. In this talk, we will first discuss several recent works, including a few of our own works, which develop efficient ...
4K viewsMay 3, 2023
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