Domino Data Lab

DECEMBER 21, 2021

In a previous blog post we talked about the foundations of reinforcement learning. In it, we present the k-armed bandit problem - a very simple setting that enables us to introduce the interaction between some of the key components of reinforcement learning. This entry is a continuation of the series.

Interactive 40

Interactive IT 40

Domino Data Lab

JANUARY 31, 2022

In a previous blog post we introduced the K-armed bandit problem - a simple example of allocation of a limited set of resources over time and under uncertainty. We saw how a stochastic bandit behaves and demonstrated that pulling arms at random yields rewards close to the expectation of the reward distribution.

Strategy 84

Strategy Uncertainty Machine Learning 84

Occam's Razor

JANUARY 28, 2013

In this blog post I want to try and do something similar by sharing some of my favorite digital experiences with you. I was listening to my "Write Great Blog Posts" music. Part of the problem is that most cart experiences stink. beat january , and blog in the site header. This blog runs WordPress.

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Marketing Insurance Visualization IT 165