Playing Carcassonne with Monte Carlo Tree Search. - Fred Valdez Ameneyro; Edgar Galván; Ángel Fernando Kuri Morales (SSCI, 2020)

Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. - Edgar Galván; Oxana Gorshkova; Peter Mooney; Fred Valdez Ameneyro; Erik Cuevas (CoRR, 2020)

Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. - Fred Valdez Ameneyro; Edgar Galván (SSCI, 2022)

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 (IEEE Trans. Games, 2023)

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 Galván; Fred Valdez Ameneyro (Inf. Sci., 2025)