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Introduction to Monte Carlo Tree Search - Jeff Bradberry
The subject of game AI generally begins with so-called perfect information games. These are turn-based games where the players have no information hidden from each other and there is no element of chance in the game mechanics (such as by rolling dice or drawing cards from a shuffled deck). Tic Tac Toe, Connect 4, Checkers, Reversi, Chess, and Go are all games of this type. Because everything in this type of game is fully determined, a tree can, in theory, be constructed that contains...
python  algorithm  montecarlo  tree  search  game 
august 2017 by ianweatherhogg
The Algorithms Behind Probabilistic Programming
We recently introduced our report on probabilistic programming. The accompanying prototype allows you to explore the past and future of the New York resident...
probability  programming  bayes  montecarlo 
january 2017 by ianweatherhogg
Introduction To Monte Carlo Methods | alexhwoods
I'm going to keep this tutorial light on math, because the goal is just to give a general understanding. The idea of Monte Carlo methods is this—generate some random samples for some random variable of interest, then use these samples to compute values you're interested in. I know, super broad. The truth is Monte Carlo…
montecarlo 
july 2015 by ianweatherhogg
Akka Cluster for Value at Risk Calculation (Part 1/2) - Eugene Zhulenev
Synopsis The code & sample app can be found on Github Risk Management in finance is one of the most common case studies
for Grid Computing, and …
scala  scalaz  montecarlo  stream  processing  trading  finance 
november 2014 by ianweatherhogg

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