11 citations · 12 across the 6 of their papers we have counts for
6 papers
Opportunistic Episodic Reinforcement Learning
Xiaoxiao Wang, Nader Bouacida, Xueying Guo +1
In this paper, we propose and study opportunistic reinforcement learning - a new variant of reinforcement learning problems where the regret of selecting a suboptimal action varies…
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Xiaoxiao Wang, Fanyu Meng, Xin Liu +2
Explainability plays an increasingly important role in machine learning. Furthermore, humans view the world through a causal lens and thus prefer causal explanations over associati…
FINETUNA: Fine-tuning Accelerated Molecular Simulations
Joseph Musielewicz, Xiaoxiao Wang, Tian Tian +1
Machine learning approaches have the potential to approximate Density Functional Theory (DFT) for atomistic simulations in a computationally efficient manner, which could dramatica…
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy +4
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease of the brain and the spinal cord, which leads to paralysis of motor functions. Patients retain their…
AdaLinUCB: Opportunistic Learning for Contextual Bandits
Xueying Guo, Xiaoxiao Wang, Xin Liu
In this paper, we propose and study opportunistic contextual bandits - a special case of contextual bandits where the exploration cost varies under different environmental conditio…
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
Xiaoxiao Wang, Xueying Guo, Jie Chuai +2
Cellular network configuration plays a critical role in network performance. In current practice, network configuration depends heavily on field experience of engineers and often r…