A Graph-Based Grammar for Structural Design using Deep Reinforcement Learning
Proceedings of IASS 2024
2024
Rutzinger, Martin;Anders, Katharina;Eltner, Anette;Gevaert, Caroline;Höfle, Bernhard;Lindenbergh, Roderik;Mayr, Andreas;Nopens, Lea-Sophie;Elberink, Sander Oude;Pirotti, Francesco
Sensing Mountains: Innsbruck Summer School of Alpine Research 2024 – Close Range Sensing Techniques in Alpine Terrain
Innsbruck University Press
2024
152
Situating Digital Participation: Incorporating material, contextual, and performative learnings into digital toolkits
eCAADe 2024 Data-Driven Intelligence
2024
Science Fiction, Software Friction, Spatial Fantasies - Architectural speculations as a resource for digital design
eCAADe 2024 Data-Driven Intelligence
2024
Towards a fossil-free urban transport system: An intelligent cross-type transferable energy management framework based on deep transfer reinforcement learning
Applied Energy
2024
Investigations on particle emissions of large-bore engines powered by natural gas and hydrogen
Environmental Science Advances
2024
Potential Analysis of Defossilized Operation of a Heavy-Duty Dual-Fuel Engine Utilizing Dimethyl Carbonate/Methyl Formate as Primary and Poly Oxymethylene Dimethyl Ether as Pilot Fuel
SAE International Journal of Engines
2024
Sizing up sustainability: Influence of battery size and cell chemistry on battery-electric trucks’ life-cycle carbon emissions
e-Prime - Advances in Electrical Engineering, Electronics and Energy
2024
Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning
Energy
2024