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Found 5 papers, 3 papers with code
SCAPE: Searching Conceptual Architecture Prompts using Evolution
Conceptual architecture involves a highly creative exploration of novel ideas, often taken from other disciplines as architects consider radical new forms, materials, textures and colors for buildings.
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
We also show that when COIL has learned its latent representation, it can optimize 10% faster than the GA, making it a good choice for daily re-optimization of robots where delivery requests for each day are allocated to robots while maintaining safe numbers of robots running at once.
The Agent-based Modelling for Human Behaviour Special Issue
If human societies are so complex, then how can we hope to understand them?
Kill Chaos with Kindness: Agreeableness Improves Team Performance Under Uncertainty
Our finding is that the dependency between team performance and Agreeableness is moderated by task uncertainty.
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions
Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e. g., multimodality, discontinuities, or deception.
