Vishal Ravichandran·Sep 11A Practical Introduction to the Multi-Armed Bandit ProblemUnderstanding exploration, exploitation, and action-selection strategies through a simple bandit problem
Natty Bumpercar·Jul 15, 2025Voted Off the Stage: How a Comedy Game Show Broke My Heart (Just a Smidge)I was super-duper excited to be cast in a show called OutLaugh: New York, which is loosely based on the reality TV show Survivor, but mixed…
Hang Nguyen·Feb 27, 2025Machine Learning 101: Upper Confidence Bound (UCB)The Multi-Armed Bandit (MAB) Problem
Karthik Raja·Dec 12, 2024Insights from Benjamin Mann’s Lecture on AI Safety at AnthropicI recently had the opportunity to audit a fascinating lecture by Benjamin Mann from Anthropic titled AI Safety and Scaling Governance. In…
Yuki Minai·Nov 20, 2023Exploring Multi-Armed Bandit Problem: Epsilon-Greedy, Epsilon-Decreasing, UCB, and Thompson…To tackle the multi-armed bandit problem, we will learn well-established algorithms such as Greedy algorithm, UCB, and Thompson Sampling
