Články s príkazom na verejný prístup - Ahmed KhalifaĎalšie informácie
Dostupné niekde: 22
General video game ai: A multitrack framework for evaluating agents, games, and content generation algorithms
D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas
Transactions on Games 11 (3), 195-214, 2019
Príkazy: UK Engineering and Physical Sciences Research Council
Deep learning for procedural content generation
J Liu, S Snodgrass, A Khalifa, S Risi, GN Yannakakis, J Togelius
Neural Computing and Applications 33 (1), 19-37, 2021
Príkazy: US National Science Foundation, National Natural Science Foundation of China …
PCGRL: Procedural content generation via reinforcement learning
A Khalifa, P Bontrager, S Earle, J Togelius
Artificial Intelligence and Interactive Digital Entertainment 16 (1), 95-101, 2020
Príkazy: US National Science Foundation
Procedural Content Generation through Quality Diversity
D Gravina, A Khalifa, A Liapis, J Togelius, GN Yannakakis
Conference on Games, 2019
Príkazy: US National Science Foundation, European Commission
Bootstrapping conditional gans for video game level generation
RR Torrado, A Khalifa, MC Green, N Justesen, S Risi, J Togelius
Conference on Games, 41-48, 2020
Príkazy: US National Science Foundation
Talakat: Bullet Hell Generation through Constrained Map-Elites
A Khalifa, S Lee, A Nealen, J Togelius
Genetic and Evolutionary Computation Conference, 2018
Príkazy: US National Science Foundation
Intentional Computational Level Design
A Khalifa, MC Green, G Barros, J Togelius
Genetic and Evolutionary Computation Conference, 2019
Príkazy: US National Science Foundation
Baba is y’all: Collaborative mixed-initiative level design
M Charity, A Khalifa, J Togelius
Conference on Games, 542-549, 2020
Príkazy: US National Science Foundation
Level Design Patterns in 2D Games
A Khalifa, FM Silva, J Togelius
Conference on Games, 2019
Príkazy: US National Science Foundation
Rotation, translation, and cropping for zero-shot generalization
C Ye, A Khalifa, P Bontrager, J Togelius
Conference on Games, 57-64, 2020
Príkazy: US National Science Foundation
Mario level generation from mechanics using scene stitching
MC Green, L Mugrai, A Khalifa, J Togelius
Conference on Games, 49-56, 2020
Príkazy: US National Science Foundation
A hybrid search agent in pommerman
H Zhou, Y Gong, L Mugrai, A Khalifa, A Nealen, J Togelius
Foundations of Digital Games, 1-4, 2018
Príkazy: US National Science Foundation
Generating levels that teach mechanics
MC Green, A Khalifa, GAB Barros, A Nealen, J Togelius
Foundations of Digital Games, 1-8, 2018
Príkazy: US National Science Foundation, US Department of Education
Mech-Elites: Illuminating the Mechanic Space of GVG-AI
M Charity, MC Green, A Khalifa, J Togelius
Foundations of Digital Games, 1-10, 2020
Príkazy: US National Science Foundation
Two-step Constructive Approaches for Dungeon Generation
MC Green, A Khalifa, A Alsoughayer, D Surana, A Liapis, J Togelius
Procedural Content Generation Workshop at FDG, 2019
Príkazy: US National Science Foundation
Generative personas that behave and experience like humans
M Barthet, A Khalifa, A Liapis, G Yannakakis
Foundations of Digital Games, 1-10, 2022
Príkazy: European Commission
Tree Search versus Optimization Approaches for Map Generation
D Bhaumik, A Khalifa, M Green, J Togelius
Artificial Intelligence and Interactive Digital Entertainment 16 (1), 24-30, 2020
Príkazy: US National Science Foundation
Multi-Objective level generator generation with Marahel
A Khalifa, J Togelius
Procedural Content Generation Workshop at FDG, 1-8, 2020
Príkazy: US National Science Foundation
A continuous information gain measure to find the most discriminatory problems for ai benchmarking
M Stephenson, D Anderson, A Khalifa, J Levine, J Renz, J Togelius, ...
Congress on Evolutionary Computation, 1-8, 2020
Príkazy: US National Science Foundation
Play with Emotion: Affect-Driven Reinforcement Learning
M Barthet, A Khalifa, A Liapis, GN Yannakakis
Affective Computing and Intelligent Interaction (ACII), 1-8, 2022
Príkazy: European Commission
Informácie o zverejnení a financovaní sú automaticky vyberané počítačovým programom