69 citations · 76 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning Dense Reward with Temporal Variant Self-Supervision
Yuning Wu, Jieliang Luo, Hui Li
Rewards play an essential role in reinforcement learning. In contrast to rule-based game environments with well-defined reward functions, complex real-world robotic applications, s…
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo +3
Volumetric design is the first and critical step for professional building design, where architects not only depict the rough 3D geometry of the building but also specify the progr…
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
Karl D. D. Willis, Yewen Pu, Jieliang Luo +5
Parametric computer-aided design (CAD) is a standard paradigm used to design manufactured objects, where a 3D shape is represented as a program supported by the CAD software. Despi…
Visual Diagnostics for Deep Reinforcement Learning Policy Development
Jieliang Luo, Sam Green, Peter Feghali +2
Modern vision-based reinforcement learning techniques often use convolutional neural networks (CNN) as universal function approximators to choose which action to take for a given v…