Cover Image

Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yulun, Fontaine, Matthew C., Hoover, Amy K., Nikolaidis, Stefanos
Format:	Preprint
Published:	2021
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Objective Covariance Matrix Adaptation MAP-Annealing
by: Zhao, Shihan, et al.
Published: (2025)

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
by: Tjanaka, Bryon, et al.
Published: (2026)

Optimizing Hearthstone Agents using an Evolutionary Algorithm
by: García-Sánchez, Pablo, et al.
Published: (2024)

Density Descent for Diversity Optimization
by: Lee, David H., et al.
Published: (2023)

Multi-Task Multi-Behavior MAP-Elites
by: Anne, et al.
Published: (2023)

Soft Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
by: Anne, Timothée, et al.
Published: (2025)

MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains
by: Zammit, Marvin, et al.
Published: (2024)

Parametric-Task MAP-Elites
by: Anne, Timothée, et al.
Published: (2024)

AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

Motif Diversity in Human Liver ChIP-seq Data Using MAP-Elites
by: Medina, Alejandro, et al.
Published: (2026)

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks
by: Stapleton, Fergal, et al.
Published: (2025)

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
by: Xue, Xiaoming, et al.
Published: (2024)

Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms
by: Hanawa, Yuki, et al.
Published: (2025)

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
by: Shao, Shuai, et al.
Published: (2026)

Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization
by: Lu, Yi, et al.
Published: (2025)

A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
by: Wu, Tongyu, et al.
Published: (2025)

Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis
by: Harada, Tomohiro, et al.
Published: (2025)

Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
by: Flageat, Manon, et al.
Published: (2023)

NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
by: Stapleton, Fergal, et al.
Published: (2024)

Language Model Crossover: Variation through Few-Shot Prompting
by: Meyerson, Elliot, et al.
Published: (2023)

Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites
by: Mertan, Alican, et al.
Published: (2025)

COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection
by: Yu, Zipei, et al.
Published: (2026)

A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization
by: Xie, Yue, et al.
Published: (2024)

Elite Lanes: Evolutionary Generation of Realistic Small-Scale Road Networks
by: Morys-Magiera, Artur, et al.
Published: (2026)

Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
by: Hao, Hao, et al.
Published: (2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
by: Rodriguez, C. J., et al.
Published: (2024)

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms
by: Hao, Hao, et al.
Published: (2024)

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
by: Tian, Yuan, et al.
Published: (2026)

Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
by: Yang, Xu, et al.
Published: (2025)

A Methodology for Effective Surrogate Learning in Complex Optimization
by: Harada, Tomohiro, et al.
Published: (2026)

Towards Code-Oriented LM Embeddings for Surrogate-Assisted Neural Architecture Search
by: Somu, Pranav, et al.
Published: (2026)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
by: Xie, Lindong, et al.
Published: (2025)

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
by: Monsia, Rivaaj, et al.
Published: (2025)

CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization
by: Khouzani, Farshid Farhadi, et al.
Published: (2025)

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

A Comparison-Relationship-Surrogate Evolutionary Algorithm for Multi-Objective Optimization
by: Pierce, Christopher M., et al.
Published: (2025)

Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
by: Wang, Bing, et al.
Published: (2024)

Fast Surrogate Learning for Multi-Objective UAV Placement in Motorway Intelligent Transportation System
by: Guo, Weian, et al.
Published: (2026)

Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks
by: Aliyev, Ilkin, et al.
Published: (2024)