8 citations · 8 across the 5 of their papers we have counts for
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cs.LG2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin, Ahmed Khaled, Yuanhao Wang +2
We develop new sub-optimality bounds for gradient descent (GD) that depend on the conditioning of the objective along the path of optimization rather than on global, worst-case con…
cs.LG2020
Online Learning in Unknown Markov Games
Yi Tian, Yuanhao Wang, Tiancheng Yu +1
We study online learning in unknown Markov games, a problem that arises in episodic multi-agent reinforcement learning where the actions of the opponents are unobservable. We show…
cs.LG2019★ 8 cited
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen +1
We study the problem of regret minimization for distributed bandits learning, in which agents work collaboratively to minimize their total regret under the coordination of a ce…