This thesis aims to investigate general game-playing by conducting a comparison between the well-known methods Alpha-beta Pruning and Monte Carlo Tree Search in a new context, namely a three-dimensional version of the game Connect Four. The methods are compared by conducting a tournament with instances of both methods at varying levels of allowed search extent and measuring the performance as a function of the average thinking time taken per move. Alpha-beta Pruning proves to clearly be the stronger method at sub- 0:1 second thinking times. However, Monte Carlo Tree Search seems to scale better with increased thinking time and overtakes Alpha-beta Pruning as the better method at thinking times of about 10 seconds, in this experiment. This s...
Part 5: Applied Modeling and SimulationInternational audienceThe game of Amazons is a combinatorial ...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...
This thesis concerns combinatorial games and algorithms that can be used to play them.Basic definiti...
I arbetet implementerades två algoritmer som utvärderades genom att spela ett matcha-3-spel mot vara...
I arbetet implementerades två algoritmer som utvärderades genom att spela ett matcha-3-spel mot vara...
The idea of using artificial intelligence to evaluatemilitary strategies is relevant for a large num...
The idea of using artificial intelligence to evaluatemilitary strategies is relevant for a large num...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
Part 5: Applied Modeling and SimulationInternational audienceThe game of Amazons is a combinatorial ...
Part 5: Applied Modeling and SimulationInternational audienceThe game of Amazons is a combinatorial ...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...
This thesis concerns combinatorial games and algorithms that can be used to play them.Basic definiti...
I arbetet implementerades två algoritmer som utvärderades genom att spela ett matcha-3-spel mot vara...
I arbetet implementerades två algoritmer som utvärderades genom att spela ett matcha-3-spel mot vara...
The idea of using artificial intelligence to evaluatemilitary strategies is relevant for a large num...
The idea of using artificial intelligence to evaluatemilitary strategies is relevant for a large num...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
This thesis presents an approach to predict the difficulty of levels in a game by simulating game pl...
This thesis presents an architecture for an agent that can play the real-time strategy game Starcraf...
Part 5: Applied Modeling and SimulationInternational audienceThe game of Amazons is a combinatorial ...
Part 5: Applied Modeling and SimulationInternational audienceThe game of Amazons is a combinatorial ...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...
In self-play reinforcement learning an agent plays games against itself and with the help of hindsig...