Conference paper
Physically Compatible 3D Object Modeling from a Single Image
Minghao Guo, Bohan Wang, et al.
NeurIPS 2024
Molecular and materials discovery is an area of great technological significance that continues to greatly benefit from the data revolution. Here we present a series of benchmark reinforcement learning environments that allow mixing and matching different design goals, representation with different reinforcement learning agents. These provides both a set of standards to evaluate different reinforcement learning algorithms applied to molecular design but also a standarised way of generating molecular datasets capturing the molecular design process.
Minghao Guo, Bohan Wang, et al.
NeurIPS 2024
Bo Zhao, Nima Dehmamy, et al.
NeurIPS 2022
Max Bloomfield, Amogh Wasti, et al.
ITherm 2025
Matheus Esteves Ferreira, Mariana Del Grande, et al.
ACS Omega