Search algorithms | Non-cooperative games
A search game is a two-person zero-sum game which takes place in a set called the search space. The searcher can choose any continuous trajectory subject to a maximal velocity constraint. It is always assumed that neither the searcher nor the hider has any knowledge about the movement of the other player until their distance apart is less than or equal to the discovery radius and at this very moment capture occurs. As mathematical models, search games can be applied to areas such as hide-and-seek games that children play or representations of some tactical military situations. The area of search games was introduced in the last chapter of Rufus Isaacs' classic book "Differential Games" and has been developed further by Shmuel Gal and Steve Alpern. The princess and monster game deals with a moving target. (Wikipedia).
The Hide&Seek Games Festival 2009
A personal video, what I did last weekend. The Hide&Seek Games Festival 2009, games for grown-ups. http://hideandseekfest.co.uk/
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SETI Science Games game jam. HiG student presentation after 48 hours of Seti Game Jam. The Search game. http://setijam.seti.org/
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From playlist Open Q&A
Python solves puzzles in Cross Set / Cross Set Infinity (Sudoku-like game)
I have written a Python program to solve puzzles in the game CrossSet / CrossSet Infinity. It's a number puzzle game, where you need to pick numbers to have set of unique sets in rows and columns (kind of like Sudoku, in a way). In this video - strategies on solving the puzzle, including
From playlist Bots Playing Games
My main YouTube Channel @GCSEALevelMaths
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From playlist Entry Level Mathematics
Player of Games: All the games, one algorithm! (w/ author Martin Schmid)
#playerofgames #deepmind #alphazero Special Guest: First author Martin Schmid (https://twitter.com/Lifrordi) Games have been used throughout research as testbeds for AI algorithms, such as reinforcement learning agents. However, different types of games usually require different solution
From playlist Papers Explained
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
Deepmind AlphaZero - Mastering Games Without Human Knowledge
2017 NIPS Keynote by DeepMind's David Silver. Dr. David Silver leads the reinforcement learning research group at DeepMind and is lead researcher on AlphaGo. He graduated from Cambridge University in 1997 with the Addison-Wesley award. Recorded: December 6th, 2017
From playlist The story of AlphaGo
Richard Tsai: "Learning optimal strategies for line-of-sight based games"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop I: High Dimensional Hamilton-Jacobi Methods in Control and Differential Games "Learning optimal strategies for line-of-sight based games" Richard Tsai, University of Texas at Austin Abstract: We present a few non-cooperative games that
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Search - Lecture 0 - CS50's Introduction to Artificial Intelligence with Python 2020
00:00:00 - Introduction 00:00:15 - Artificial Intelligence 00:03:14 - Search 00:14:17 - Solving Search Problems 00:25:57 - Depth First Search 00:28:30 - Breadth First Search 00:54:29 - Greedy Best-First Search 01:05:15 - A* Search 01:12:01 - Adversarial Search 01:14:09 - Minimax 01:36:17 -
From playlist CS50's Introduction to Artificial Intelligence with Python 2020
CS50 2020 - Artificial Intelligence
TABLE OF CONTENTS 00:00:00 - Introduction 00:00:49 - Decision-Making 00:06:44 - Decision Trees 00:11:16 - Minimax 00:20:49 - Depth-Limited Minimax 00:22:25 - Search 00:23:53 - Depth-First Search 00:27:52 - Breadth-First Search 00:30:57 - Heuristics 00:33:28 - Greedy Best-First Search 00:3
From playlist CS50 Lectures 2020
ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
David Silver (DeepMind) and Sylvain Gelly (Google Brain) remote present their 2007 paper 'Combining Online and Offline Knowledge in UCT' which received the Test of Time Award at ICML 2017.
From playlist Talks
Too Many Games - Why Can't You Find the Games You Want? - Extra Credits
The number of games coming out has hugely increased thanks to distribution platforms like Steam and the App Store, but storefronts have become a cluttered mess with inadequate search options. Subscribe for new episodes every Wednesday! http://bit.ly/SubToEC (---More below) _______ Get you
From playlist Extra Credits (ALL EPISODES)
This video explains AlphaZero! AlphaZero makes slight modifications to AlphaGo Zero and generalizes the game from Go to Chess and Shogi as well. AlphaZero outplays Chess algorithms that uses a more exhaustive Alpha-Beta search engine compared to MCTS and uses handcrafted features from expe
From playlist Game Playing AI: From AlphaGo to MuZero
LoneStarRuby 2015 - Shall We Play A Game? by Randy Coulman
Teaching computers to play games has been a pursuit and passion for many programmers. Game playing has led to many advances in computing over the years, and the best computerized game players have gained a lot of attention from the general public (think Deep Blue and Watson). Using the Ri
From playlist LoneStarRuby 2015