2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2019★ 1 cited
Practical Calculation of Gittins Indices for Multi-armed Bandits
James Edwards
Gittins indices provide an optimal solution to the classical multi-armed bandit problem. An obstacle to their use has been the common perception that their computation is very diff…
stat.ML2016★ 2 cited
On the Identification and Mitigation of Weaknesses in the Knowledge Gradient Policy for Multi-Armed Bandits
James Edwards, Paul Fearnhead, Kevin Glazebrook
The Knowledge Gradient (KG) policy was originally proposed for online ranking and selection problems but has recently been adapted for use in online decision making in general and…