Search Results for "monte carlo pde"

Blind Chess also known as "Dark Chess" (暗棋) or "Banqi" or Half Chess , is a two-player Chinese board game played on a 4x8 grid, or half of the xiangqi (Chinese Chess) board. This application is using Taiwan rule. AI is using basic minimax tree structure and some rules. Advanced algorithm such as Upper Confidence bounds applied to Trees and Monte Carlo Tree Search are NOT used. This app is single player vs computer only. For English user, Christakis Giorgios made Software Requirements...

Small simulator for checking typical dice probabilites for boardgaming/wargaming (during Vassal pbem games for example). Pre-configured tabs for the boardgame "Here I Stand" from GMT Games, but easily useable for other boardgames as well. The newest version also includes prediction of CRT combat (Paths of Glory, Illusions of Glory, Pursuit of Glory CRTs included). You can add your own single-dice CRTs for any game. Most features use a Monte Carlo simulation, but a few are calculated...

Monte Carlo search of Gomoku AI using with Piskvork. It's easy and playable. This AI only support Free-style gomoku and there is NO ban move.

This software is to generate kicker playing schedules that should be as fair as possible. There are the following hard constraints: - Each match consists of 4 players, with 2 teams of 2 players each. - All players participating at the whole schedule will be included in the same number of matches. The following optimization objectives are being regarded: - Each player should be scheduled for each table position equally often. - All combinations of team-mates should happen equally...

Fuego is a collection of C++ libraries for developing software for the game of Go. It includes a Go player using Monte-Carlo tree search.

Go player using Monte-Carlo method.

Players and solvers for the game of Hex.

A Java poker statistical analysis and general study aid, starting with a basic gaming engine to run monte carlo simulations of Texas Hold'em starting hands in order to rank them. Nothing particularly new or existing but useful for study...

RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.

A Monte Carlo simulation of Major League Baseball(TM), used to find the best strategies in a baseball game. The effect of different batting orders and the addition of one super-star can be tested and archived in retrosheet format.

This is a Monte-Carlo-Simulation of Poker. After n Monte-Carlo-Steps you get the probability distribution of your predefined problem.