The promising applications of mobile crowdsensing (MCS) have attracted much research
interest recently, especially for the posted-pricing scenes. However, existing works mainly …

The problem of identifying the best answer among a collection of items having real-valued
distribution is well-understood. Despite its practical relevance for many applications, fewer …

Interactive preference learning systems present humans with queries as pairs of options;
humans then select their preferred choice, allowing the system to infer preferences from …

This paper introduces the\emph {confounded pure exploration transductive linear
bandit}(\texttt {CPET-LB}) problem. As a motivating example, often online services cannot …

We propose a novel theory-based approach to the reinforcement learning problem of
maximizing profits when faced with an unknown demand curve. Our method is based on …