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Curiosity as a Self-Supervised Method to Improve Exploration in De novo
  Drug Design

Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design

24 September 2023
M. Chadi
H. Mousannif
Ahmed Aamouche
    BDL
ArXivPDFHTML

Papers citing "Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design"

2 / 2 papers shown
Title
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic
  Rewards for Goal-directed Molecular Generation
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
Jinyeong Park
Jaegyoon Ahn
Jonghwan Choi
Jibum Kim
31
2
0
29 Mar 2024
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
191
633
0
29 Nov 2018
1