Heuristic algorithms | Monte Carlo methods | Optimal decisions | Combinatorial game theory

Monte Carlo tree search

In computer science, Monte Carlo tree search (MCTS) is a heuristic search algorithm for some kinds of decision processes, most notably those employed in software that plays board games. In that context MCTS is used to solve the game tree. MCTS was combined with neural networks in 2016 and has been used in multiple board games like Chess, Shogi, Checkers, Backgammon, Contract Bridge, Computer Go, Scrabble, and Clobber as well as in turn-based-strategy video games (such as Total War: Rome II's implementation in the high level campaign AI). (Wikipedia).

Monte Carlo tree search
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Check if a binary tree is binary search tree or not

See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have written a program in C/C++ to verify whether a given binary tree is binary search tree or not. For practice problems and more, visit: http://www.m

From playlist Data structures

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Identifying Isomorphic Trees | Graph Theory

Identifying and encoding isomorphic trees Algorithms repository: https://github.com/williamfiset/algorithms#tree-algorithms Video slides: https://github.com/williamfiset/Algorithms/tree/master/slides Video source code: https://github.com/williamfiset/Algorithms/tree/master/com/williamfi

From playlist Tree Algorithms

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Regression Trees, Clearly Explained!!!

Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the p

From playlist StatQuest

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Do pineapples grow on trees? - Smarter Every Day 9

Facebook this: http://on.fb.me/OnGound Tweet: http://bit.ly/jJpDE2 While roaming around in the bush in Sierra Leone (little scary) we came across what looked like the community pineapple grove. For some reason all these years I thought pineapples grew on trees, I just never thought it th

From playlist Smarter Every Day

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How to take the cube root of a number using prime factorization, cuberoot(48)

👉 Learn how to find the cube root of a number. To find the cube root of a number, we identify whether that number which we want to find its cube root is a perfect cube. This is done by identifying a number which when raised to the 3rd power gives the number which we want to find its cube r

From playlist How To Simplify The Cube Root of a Number

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Introduction to tree algorithms | Graph Theory

An introduction to tree algorithms. This video covers how trees are stored and represented on a computer. Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-t

From playlist Tree Algorithms

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Finding Stomata

Paul Andersen shows you how to find stomata in a dicot and monocot leaf using finger nail polish and transparent tape. A microscope is required to actually see the stomata. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people

From playlist AP Biology Labs

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AlphaGo Zero

This video explains AlphaGo Zero! AlphaGo Zero uses less prior information about Go than AlphaGo. Whereas AlphaGo is initialized by supervised learning on human experts mappings from state to action; AlphaGo Zero is trained from scratch through self-play. AlphaGo Zero achieves this by comb

From playlist Game Playing AI: From AlphaGo to MuZero

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AlphaGo

This video explains the details behind AlphaGo! AlphaGo uses policy and value networks to reduce the search space in MCTS! Thanks for watching! Please Subscribe! Paper Link: https://www.nature.com/articles/nature16961

From playlist Game Playing AI: From AlphaGo to MuZero

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The Evolution of AlphaGo to MuZero

This video covers the developments progression from AlphaGo to AlphaGo Zero to AlphaZero, and the latest algorithm, MuZero. These algorithms from the DeepMind team have gone from superhuman Go performance up to 57 different Atari games. Hopefully this video helps explain how these are rela

From playlist Game Playing AI: From AlphaGo to MuZero

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Using prime factorization to take the cube root of a number, cuberoot(64)

👉 Learn how to find the cube root of a number. To find the cube root of a number, we identify whether that number which we want to find its cube root is a perfect cube. This is done by identifying a number which when raised to the 3rd power gives the number which we want to find its cube r

From playlist How To Simplify The Cube Root of a Number

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MuZero

The video explains MuZero! MuZero makes AlphaZero more general by constructing representation and dynamics models such that it can play games without a perfect model of the environment. This dynamics function is unique because of the way it's hidden state is tied into the policy and value

From playlist Game Playing AI: From AlphaGo to MuZero

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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

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Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning (Paper Explained)

When AI makes a plan it usually does so step by step, forward in time. But often it is beneficial to define intermediate goals to divide a large problem into easier sub-problems. This paper proposes a generalization of MCTS that searches not for the best next actions to take, but for the b

From playlist Papers Explained

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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

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Take the cube root of a number using the product of cubed numbers, cuberoot(250)

👉 Learn how to find the cube root of a number. To find the cube root of a number, we identify whether that number which we want to find its cube root is a perfect cube. This is done by identifying a number which when raised to the 3rd power gives the number which we want to find its cube r

From playlist How To Simplify The Cube Root of a Number

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 16 - Monte Carlo Tree Search

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Emma Brunskill, Stanford University http://onlinehub.stanford.edu/ Professor Emma Brunskill Assistant Professor, Computer Science Stanford AI for Hu

From playlist Stanford CS234: Reinforcement Learning | Winter 2019

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AlphaZero

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

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How Many Trees Are There?

Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/PBSDSDonate Tweet this ⇒ http://bit.ly/OKTBStree Share on FB ⇒ http://bit.ly/OKTBStreeFB Try Squarespace: http://squarespace.com/itsokaytobesmart ↓ More info and sources below ↓

From playlist Be Smart - LATEST EPISODES!

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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

Related pages

Branching factor | General game playing | Monte Carlo method | Deep learning | Reinforcement learning | Non-blocking algorithm | Reversi | Minimax | Automated theorem proving | Chess | Game tree | Discrete uniform distribution | Hex (board game) | Search tree | Heuristic (computer science) | Search algorithm | Artificial neural network | Thompson sampling | Tic-tac-toe | Fair coin | Clobber | Game of the Amazons | Alpha–beta pruning