Markov Decision Processes - Computerphile
Deterministic route finding isn't enough for the real world - Nick Hawes of the Oxford Robotics Institute takes us through some problems featuring probabilities. Nick used an example from Mickael Randour: https://bit.ly/C_MickaelRandour This video was previously called "Robot Decision Making" / computerphile / computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com

▶︎
Solve Markov Decision Processes with the Value Iteration Algorithm - Computerphile

▶︎
Model Driven Software Engineering - Computerphile

▶︎
The Strange Math That Predicts (Almost) Anything

▶︎
Malware and Machine Learning - Computerphile

▶︎
Monte Carlo Tree Search - Computerphile

▶︎
16. Markov Chains I

▶︎
Markov Decision Processes 1 - Value Iteration | Stanford CS221: AI (Autumn 2019)

▶︎
Automating Boston Dynamics Spot Robot - Computerphile

▶︎
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

▶︎
Knowledge Graphs - Computerphile

▶︎
Lecture 1: Introduction to Individual Decision-Making

▶︎
Hidden Markov Models for Quant Finance

▶︎
Lecture 31: Markov Chains | Statistics 110

▶︎
This is why Deep Learning is really weird.

▶︎
AlphaFold - The Most Useful Thing AI Has Ever Done

▶︎
COMPSCI 188 - 2018-09-18 - Markov Decision Processes (MDPs) Part 1/2

▶︎
ChatGPT, Gemini, Claude & Co erklärt: Wie Maschinen Sprache verstehen | Terra X Lesch & Co

▶︎
Verifying AI 'Black Boxes' - Computerphile

▶︎
Why Information Theory is Important - Computerphile

▶︎
