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 ...
Recent advances in photonic technology are redefining decision-making processes by integrating quantum dots with bandit problem algorithms. Quantum dots – nanoscale semiconductor particles – ...
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 ...
Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...
A/B testing is popular among digital marketers, content strategists and web designers—and for good reason. Apart from increasing a website’s conversion rates, it also improves user engagement, comes ...
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