209 citations · 225 across the 5 of their papers we have counts for
9 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…
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong +14
Travel-time prediction constitutes a task of high importance in transportation networks, with web mapping services like Google Maps regularly serving vast quantities of travel time…
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…
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song +4
The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. H…
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…
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
Yuxuan Sun, Jinhui Song, Sheng Zhou +2
In vehicular edge computing (VEC) system, some vehicles with surplus computing resources can provide computation task offloading opportunities for other vehicles or pedestrians. Ho…