209 citations · 281 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
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…
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
Huasen Wu, Xueying Guo, Xin Liu
In this paper, we propose and study opportunistic bandits - a new variant of bandits where the regret of pulling a suboptimal arm varies under different environmental conditions, s…