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cs.LG2022
Bayesian regularization of empirical MDPs
Samarth Gupta, Daniel N. Hill, Lexing Ying +1
In most applications of model-based Markov decision processes, the parameters for the unknown underlying model are often estimated from the empirical data. Due to noise, the policy…
cs.LG2018
An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Daniel N Hill, Houssam Nassif, Yi Liu +2
Optimization is commonly employed to determine the content of web pages, such as to maximize conversions on landing pages or click-through rates on search engine result pages. Ofte…