2 citations · 4 across the 8 of their papers we have counts for
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math.OC2023
A Bandit Learning Method for Continuous Games under Feedback Delays with Residual Pseudo-Gradient Estimate
Yuanhanqing Huang, Jianghai Hu
Learning in multi-player games can model a large variety of practical scenarios, where each player seeks to optimize its own local objective function, which at the same time relies…
math.OC2023
Bandit Online Learning in Merely Coherent Games with Multi-Point Pseudo-Gradient Estimate
Yuanhanqing Huang, Jianghai Hu
Non-cooperative games serve as a powerful framework for capturing the interactions among self-interested players and have broad applicability in modeling a wide range of practical…
math.OC2023★ 2 cited
Zeroth-Order Learning in Continuous Games via Residual Pseudogradient Estimates
Yuanhanqing Huang, Jianghai Hu
A variety of practical problems can be modeled by the decision-making process in multi-player games where a group of self-interested players aim at optimizing their own local objec…