Enhancing playout policy adaptation for general game playing
Abstract Playout Policy Adaptation (PPA) is a state-of-the-art strategy that has been
proposed to control the playouts in Monte-Carlo Tree Search (MCTS). PPA has been …
proposed to control the playouts in Monte-Carlo Tree Search (MCTS). PPA has been …
Some variations of upper confidence bound for general game playing
I Francisco-Valencia, JR Marcial-Romero… - Mexican Conference on …, 2019 - Springer
Abstract Monte Carlo Tree Search (MCTS) is the most used method in General Game
Playing, area of the Artificial Intelligence, whose main goal is to develop agents capable of …
Playing, area of the Artificial Intelligence, whose main goal is to develop agents capable of …
[PDF][PDF] Automated Level Generation for General Video Games1
EC Dallmeier - 2018 - project.dke.maastrichtuniversity.nl
This thesis presents alternative methods for tackling the problem of General Video Game
Level Generation (GVG-LG). For this purpose three Monte Carlo (MC) search algorithms …
Level Generation (GVG-LG). For this purpose three Monte Carlo (MC) search algorithms …
[PDF][PDF] Enhancing Playout Policy Adaptation for General Game Playing
MHM Winands - dke.maastrichtuniversity.nl
Playout Policy Adaptation (PPA) is a state-of-the-art strategy that controls the playouts in
Monte-Carlo Tree Search (MCTS). PPA has been successfully applied to many two-player …
Monte-Carlo Tree Search (MCTS). PPA has been successfully applied to many two-player …
Some Variations of Upper Confidence Bound for General Game Playing
RM Valdovinos-Rosas - … 2019, Querétaro, Mexico, June 26–29 …, 2019 - books.google.com
Monte Carlo Tree Search (MCTS) is the most used method in General Game Playing, area
of the Artificial Intelligence, whose main goal is to develop agents capable of play any board …
of the Artificial Intelligence, whose main goal is to develop agents capable of play any board …