/rl-papers

reinforcement learning papers

Paper Collection of RL and Its Applications

RL-basics

MARL-basics

RL4RS

RL4Traffics

RL4Policy-Diversity

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.

RL4QD

RL4Robot

Contributors

pic
Ariel Chen

MARL-basics
THU

pic
Yongqi Li

RL4Robotics&MRS
SUSTech

pic
Erlong Liu

QD&ERL
NJU

pic
Kejian Shi

RL&Robotics
IC

pic
Tienyu Zuo

RL-Metalearning
NUIST

pic
John Jim

offline RL
PKU