RL4DrugDiscovery: Drug discovery is a challenging multi-objective optimization problem where multiple pharmaceutical objectives need to be satisfied. Recently, utilizing reinforcement learning to generate molecules with desired physicochemical properties such as solubility has been acknowledged as a promising strategy for drug design.
![]() Ariel Chen MARL-basics |
![]() Yongqi Li RL4Robotics&MRS |
![]() Erlong Liu QD&ERL |
![]() Kejian Shi RL&Robotics |
![]() Tienyu Zuo RL-Metalearning |
![]() John Jim offline RL |