AXRP - the AI X-risk Research Podcast cover image

25 - Cooperative AI with Caspar Oesterheld

AXRP - the AI X-risk Research Podcast

CHAPTER

The Multi-Armed Bandit Problem and Regret Minimization

The chapter explores the multi-armed bandit problem, where the goal is to maximize reward by choosing between multiple options. It discusses scenarios with unknown reward distributions and the need for randomization. Additionally, it highlights the concept of regret minimization and its limitations in certain decision-making scenarios.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner