212 citations · 319 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 16 cited
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Yuzhe Yang, Guo Zhang, Zhi Xu +1
Value-based methods constitute a fundamental methodology in planning and deep reinforcement learning (RL). In this paper, we propose to exploit the underlying structures of the sta…
cs.LG2019★ 59 cited
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi +1
Deep neural networks are vulnerable to adversarial attacks. The literature is rich with algorithms that can easily craft successful adversarial examples. In contrast, the performan…
stat.ML2019
Non-Asymptotic Analysis of Monte Carlo Tree Search
Devavrat Shah, Qiaomin Xie, Zhi Xu
In this work, we consider the popular tree-based search strategy within the framework of reinforcement learning, the Monte Carlo Tree Search (MCTS), in the context of infinite-hori…