Playing card dice, by the Dice Lab. http://mathartfun.com/thedicelab.com/RollACard.html
From playlist Dice
Reinforcement Learning 10: Classic Games Case Study
David Silver, Research Scientist, discusses classic games as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
From playlist DeepMind x UCL | Reinforcement Learning Course 2018
AMAZING EXPERIMENT! Rolling Paper Toilet!!!
In this video i show how paper toilet rolling from air fan! Enjoy!!!
From playlist MECHANICS
CMU Neural Nets for NLP 2017 (16): Reinforcement Learning
This lecture (by Graham Neubig) for CMU CS 11-747, Neural Networks for NLP (Fall 2017) covers: * What is Reinforcement Learning? * Policy Gradient and REINFORCE * Stabilizing Reinforcement Learning * Value-based Reinforcement Learning Slides: http://phontron.com/class/nn4nlp2017/assets/s
From playlist CMU Neural Nets for NLP 2017
Gambling: Crash Course Games #27
Today we’re going to talk about gambling. Now, gambling is interesting because it could be argued that gambling doesn’t even have anything to do with games. It’s usually about making money after all - which makes it much closer to work. But gambling definitely has a gaming component from i
From playlist Games
Awesome Turn on lighter (slow motion)!!!
Amazing Turn on lighter in slow motion!!!
From playlist THERMODYNAMICS
[AlphaGo Zero] Mastering the game of Go without human knowledge | TDLS
Toronto Deep Learning Series For slides and more information, visit https://tdls.a-i.science/events/2019-02-25/ Discussion lead: Liam Hinzman Discussion facilitators: Tahseen Shabab , Susan Chang Mastering the Game of Go without Human Knowledge "A long-standing goal of artificial inte
From playlist Reinforcement Learning
ML Tutorial: Modern Reinforcement Learning and Video Games (Marc Bellemare)
Machine Learning Tutorial at Imperial College London: Modern Reinforcement Learning and Video Games Marc Bellemare (DeepMind) November 2, 2016
From playlist Machine Learning Tutorials
Seek Thermal camera teardown part 1
From playlist Teardowns
For more details on the Mathemalchemy project, see mathemalchemy.org
From playlist 3D printing
Project: Backgammon tutor | MIT 6.189 Multicore Programming Primer, IAP 2007
Project: Backgammon tutor License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
Some video video broadcast equipment
From playlist Teardowns
Learning selection strategies in Buchberger's algorithm: Daniel Halpern-Leinster
Machine Learning for the Working Mathematician: Week Eleven 12 May 2022 Daniel Halpern-Leinster, Learning selection strategies in Buchberger's algorithm Abstract: Studying the set of exact solutions of a system of polynomial equations largely depends on a single iterative algorithm, know
From playlist Machine Learning for the Working Mathematician
Supercuspidal representations of GL(n) over a p-adic field (Lecture - 04) by Vincent Sécherre
PROGRAM : ALGEBRAIC AND ANALYTIC ASPECTS OF AUTOMORPHIC FORMS ORGANIZERS : Anilatmaja Aryasomayajula, Venketasubramanian C G, Jurg Kramer, Dipendra Prasad, Anandavardhanan U. K. and Anna von Pippich DATE & TIME : 25 February 2019 to 07 March 2019 VENUE : Madhava Lecture Hall, ICTS Banga
From playlist Algebraic and Analytic Aspects of Automorphic Forms 2019
Lecture 1 "Supervised Learning Setup" -Cornell CS4780 Machine Learning for Decision Making SP17
Cornell class CS4780. (Online version: https://tinyurl.com/eCornellML ) Official class webpage: http://www.cs.cornell.edu/courses/cs4780/2018fa/ Written lecture notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html Past 4780 exams are here: https://www.dropbox.com/s/
From playlist CORNELL CS4780 "Machine Learning for Intelligent Systems"
Dynamic Programming - Reinforcement Learning Chapter 4
Free PDF: http://incompleteideas.net/book/RLbook2018.pdf Print Version: https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=dp_ob_title_bk Thanks for watching this series going through the Introduction to Reinforcement Learning book! I think t
From playlist Reinforcement Learning
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 8
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
Let's make 16 games in C++: Bejeweled (Match-3)
Download source: https://drive.google.com/uc?export=download&id=1X24AF6OYBp0dFDdjtTx0nlTrGOHb4uRr
From playlist Let's make 16 games in C++/SFML!