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Found 3 papers, 1 papers with code
Diffusion Stochastic Optimization for Min-Max Problems
The optimistic gradient method is useful in addressing minimax optimization problems.
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
In particular, the lower bound implies that our proposed algorithm, Value-Aware Autonomous Exploration, is nearly minimax-optimal when the number of $L$-controllable states grows polynomially with respect to $L$.
Sample Complexity of Learning Parametric Quantum Circuits
Quantum computers hold unprecedented potentials for machine learning applications.
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