Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search

28 November 2022

Papers citing "Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search"

6 / 6 papers shown

Title
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization Akash Agrawal Christopher McComb 43 0 0 23 Mar 2025
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models Rui Zhou Chenyang Yuan Frank Permenter Yanxia Zhang Nikos Arechiga Matt Klenk Faez Ahmed DiffM 25 0 0 17 Jun 2024
TransAxx: Efficient Transformers with Approximate Computing Dimitrios Danopoulos Georgios Zervakis Dimitrios Soudris Jörg Henkel ViT 42 2 0 12 Feb 2024
Data-Driven Design for Metamaterials and Multiscale Systems: A Review Doksoo Lee Wei-Neng Chen Liwei Wang Yu-Chin Chan Wei Chen AI4CE 22 78 0 01 Jul 2023
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications Marco Kemmerling Daniel Lutticke Robert H. Schmitt 11 14 0 14 Mar 2023
Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design Ayush Raina Lucas Puentes Jonathan Cagan Christopher McComb AI4CE 13 6 0 07 Oct 2021