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 ...

We consider optimal sequential allocation in the context of the so-called stochastic multi-armed bandit model. We describe a generic index policy, in the sense of Gittins [J. R. Stat. Soc. Ser. B Stat ...

Who would have thought there was a thing such as a 'multi-arm bandit algorithm'? Of course, it's the branch of mathematics that models how a gambler deals with an entire row of one-arm bandit machines ...

IIT Bombay has announced an online course on machine learning to help students gain knowledge on bandit algorithms. The course, called Bandit Algorithm (Online Machine Learning), is being offered on ...

"This bandit algorithm has proven advantages," Kocsis said. The possible outcomes of a game are like branches of a tree, and earlier Go programs, unable to scan all branches, picked some at random ...

Bandit-based algorithm to play Go You know that computers can beat humans at lots of games. But so far, humans are still better than the most powerful systems when playing at Chinese strategy game Go.