4 citations · 9 across the 4 of their papers we have counts for
5 papers
An Analysis on the Effects of Evolving the Monte Carlo Tree Search Upper Confidence for Trees Selection Policy on Unimodal, Multimodal and Deceptive Landscapes
Edgar Galvan, Fred Valdez Ameneyro
Monte Carlo Tree Search (MCTS) is a best-first sampling method employed in the search for optimal decisions. The effectiveness of MCTS relies on the construction of its statistical…
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Fred Valdez Ameneyro, Edgar Galvan
Monte Carlo Tree Search (MCTS) is a sampling best-first method to search for optimal decisions. The success of MCTS depends heavily on how the MCTS statistical tree is built and th…
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne
Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro
Monte Carlo Tree Search (MCTS) is a sampling best-first method to search for optimal decisions. The success of MCTS depends heavily on how the tree is built and the selection proce…
Playing Carcassonne with Monte Carlo Tree Search
Fred Valdez Ameneyro, Edgar Galvan, Anger Fernando Kuri Morales
Monte Carlo Tree Search (MCTS) is a relatively new sampling method with multiple variants in the literature. They can be applied to a wide variety of challenging domains including…
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing
Edgar Galván, Oxana Gorshkova, Peter Mooney +2
Multiple Artificial Intelligence (AI) methods have been proposed over recent years to create controllers to play multiple video games of different nature and complexity without rev…