45 citations · 58 across the 3 of their papers we have counts for
3 papers
cs.NI2020★ 45 cited
Real-world Video Adaptation with Reinforcement Learning
Hongzi Mao, Shannon Chen, Drew Dimmery +5
Client-side video players employ adaptive bitrate (ABR) algorithms to optimize user quality of experience (QoE). We evaluate recently proposed RL-based ABR methods in Facebook's we…
cs.LG2019★ 5 cited
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints
Samuel Daulton, Shaun Singh, Vashist Avadhanula +2
Recent advances in contextual bandit optimization and reinforcement learning have garnered interest in applying these methods to real-world sequential decision making problems. Rea…
stat.ML2019★ 8 cited
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham, Eytan Bakshy
Online field experiments are the gold-standard way of evaluating changes to real-world interactive machine learning systems. Yet our ability to explore complex, multi-dimensional p…