Imagine you’re a gambler and you’re standing in front of several slot machines. Your goal is to maximize your winnings, but you don’t actually know anything about the potential rewards offered by each ...

Jakob Bignert joined Apptus in 2016 and is responsible for the product department. Prior to joining Apptus Jakob served as senior product manager at Evernote Inc in California, since 2010. At Evernote ...

How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the "multi-armed bandit problem," a common task in reinforcement learning in which "agents" make choices ...

Why stick with the familiar when better options exist? A new study explores our decision-making process, revealing the trade-off between known rewards and exploration.

We consider generalisations of two classical stochastic scheduling models, namely the discounted branching bandit and the discounted multi-armed bandit, to the case where the collection of machines ...