Tech Talk: Poker AI: Libratus and an Introduction to Counterfactual Regret Minimization

Channel:
United States Fullstack Academy
Subscribers:
58,000
Published on ● Video Link: https://www.youtube.com/watch?v=htRtfyab-Ns


Duration: 12:23
7,302 views
97

In 2017, a poker playing AI developed by researchers at Carnegie Mellon defeated 4 top heads up no limit hold 'em players in a 120,000 hand challenge. In this video, Wade introduces counterfactual regret minimization, one of the algorithms that Libratus was built on, along with a simple CFR example for rock, paper, scissors.

----
Fullstack Academy was recently ranked the #1 coding bootcamp in the U.S. Learn more at https://www.fullstackacademy.com



Other Videos By Fullstack Academy


2017-06-20Graphics Rendering Techniques - How to Render Graphics in the Browser
2017-06-20Search Engine Tutorial - How to Build a Search Engine
2017-06-20WebAssembly Tutorial - An Introduction to WebAssembly
2017-06-19React VR Demo - Getting Started with React VR
2017-06-19Vue.js Tutorial - Code Examples using Vue.js
2017-06-19Tech Talk: Living Styleguides + React
2017-06-19Elm Tutorial - Why use Elm?
2017-06-19Tech Talk: How to solve the Halting Problem
2017-06-19D3.js Tutorial - Using D3 to Visualize and Analyze Data
2017-06-14InterPlanetary File System (IPFS) Tutorial - The Future of Distributed Data with IPFS
2017-06-14Tech Talk: Poker AI: Libratus and an Introduction to Counterfactual Regret Minimization
2017-06-14Tech Talk: How to use Proxy in Javascript
2017-06-14Real-Time Bidding (RTB) Tutorial - What is RTB and How Does it Work
2017-06-14Genetic Algorithm Tutorial - How to Code a Genetic Algorithm
2017-06-14InterPlanetary File System (IPFS) Tutorial - Remaking the Internet with IPFS & The Distributed Web
2017-06-14RegEx Tutorial - Introducing Regular Expressions
2017-06-14Docker Tutorial - How to implement a Docker Container in your Node Project
2017-06-14GraphQL Tutorial - A Demo of how GraphQL works
2017-06-14Naive Bayes Classifier Tutorial - Examples Using the Naive Bayes Classifier Algorithm
2017-06-02Stackathon Presentation: Grumpybot
2017-05-26Student Project: adventureUs