Deep reinforcement learning for efficient exploration of combinatorial structural design spaces

Chloe S. H. Hong, Keith J. Lee, Caitlin T. Mueller

This paper proposes a reinforcement learning framework for performance-driven structural design that combines bottom-up design generation with learned strategies to efficiently sea…