8 citations · 17 across the 8 of their papers we have counts for
4 papers · 1 filter
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao +3
A growing trend for value-based reinforcement learning (RL) algorithms is to capture more information than scalar value functions in the value network. One of the most well-known m…
Certifiably Robust Interpretation via Renyi Differential Privacy
Ao Liu, Xiaoyu Chen, Sijia Liu +2
Motivated by the recent discovery that the interpretation maps of CNNs could easily be manipulated by adversarial attacks against network interpretability, we study the problem of…
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…
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
Kefan Dong, Yuanhao Wang, Xiaoyu Chen +1
A fundamental question in reinforcement learning is whether model-free algorithms are sample efficient. Recently, Jin et al. \cite{jin2018q} proposed a Q-learning algorithm with UC…