2.6k citations · 3.1k across the 36 of their papers we have counts for
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cs.LG2021★ 3 cited
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
Jingzhao Zhang, Haochuan Li, Suvrit Sra +1
This work examines the deep disconnect between existing theoretical analyses of gradient-based algorithms and the practice of training deep neural networks. Specifically, we provid…
cs.LG2021★ 2 cited
Provably Efficient Algorithms for Multi-Objective Competitive RL
Tiancheng Yu, Yi Tian, Jingzhao Zhang +1
We study multi-objective reinforcement learning (RL) where an agent's reward is represented as a vector. In settings where an agent competes against opponents, its performance is m…