Edgar Galván | DeepAI

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∙ 08/04/2023

Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction

Machine learning has rapidly evolved during the last decade, achieving e...

0 Edgar Galván, et al. ∙

∙ 05/05/2023

Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares

Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient ...

0 Fergal Stapleton, et al. ∙

∙ 02/07/2023

Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy

Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...

0 Fred Valdez Ameneyro, et al. ∙

∙ 08/29/2022

Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne

Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...

0 Edgar Galván, et al. ∙

∙ 06/10/2022

Highlights of Semantics in Multi-objective Genetic Programming

Semantics is a growing area of research in Genetic programming (GP) and ...

0 Edgar Galván, et al. ∙

∙ 05/31/2022

ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation

Generating a detailed near-field perceptual model of the environment is ...

0 Pramit Dutta, et al. ∙

∙ 05/04/2022

Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles

The incentive for using Evolutionary Algorithms (EAs) for the automated ...

0 Fergal Stapleton, et al. ∙

∙ 12/17/2021

On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne

Monte Carlo Tree Search (MCTS) is a sampling best-first method to search...

0 Edgar Galván, et al. ∙

∙ 05/06/2021

Semantics in Multi-objective Genetic Programming

Semantics has become a key topic of research in Genetic Programming (GP)...

0 Edgar Galván, et al. ∙

∙ 02/28/2021

Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition

Semantic diversity in Genetic Programming has proved to be highly benefi...

0 Fergal Stapleton, et al. ∙

∙ 02/16/2021

Neuroevolution in Deep Learning: The Role of Neutrality

A variety of methods have been applied to the architectural configuratio...

0 Edgar Galván, et al. ∙

∙ 12/08/2020

Promoting Semantics in Multi-objective Genetic Programming based on Decomposition

The study of semantics in Genetic Program (GP) deals with the behaviour ...

0 Edgar Galván, et al. ∙

∙ 09/27/2020

Playing Carcassonne with Monte Carlo Tree Search

Monte Carlo Tree Search (MCTS) is a relatively new sampling method with ...

0 Fred Valdez Ameneyro, et al. ∙

∙ 09/25/2020

Semantic-based Distance Approaches in Multi-objective Genetic Programming

Semantics in the context of Genetic Program (GP) can be understood as th...

0 Edgar Galván, et al. ∙

∙ 08/30/2020

Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing

Multiple Artificial Intelligence (AI) methods have been proposed over re...

0 Edgar Galván, et al. ∙

∙ 06/09/2020

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges

A variety of methods have been applied to the architectural configuratio...

0 Edgar Galván, et al. ∙

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