EarlGAN: An enhanced actor–critic reinforcement learning agent-driven GAN for de novo drug design
Huidong Tang, Chen Li, Shuai Jiang, Huachong Yu, Sayaka Kamei, Yoshihiro Yamanishi, Yasuhiko Morimoto
Topics & Concepts
Computer scienceReinforcement learningDiscriminatorMonte Carlo tree searchMaximizationGenerator (circuit theory)Tree (set theory)Monte Carlo methodArtificial intelligenceMathematical optimizationQuantum mechanicsDetectorStatisticsPower (physics)Mathematical analysisTelecommunicationsPhysicsMathematicsComputational Drug Discovery MethodsMachine Learning in Materials ScienceProtein Structure and Dynamics