17min chapter

Data Skeptic cover image

Memory in Chess

Data Skeptic

CHAPTER

Deep Learning and Reinforcement Learning in Chess

The chapter discusses the concept of deep learning and reinforcement learning in chess, exploring how moves can be based on probability and board states. It also touches on the capabilities and limitations of AI in playing games, comparing it to the strategies of beginner players. The chapter concludes with an interest in analyzing Alpha Zero's recorded games and comparing its strategies to those of beginners.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode