Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.11293
Cited By
Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning
17 December 2020
Luca Thiede
Mario Krenn
AkshatKumar Nigam
Alán Aspuru-Guzik
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning"
6 / 6 papers shown
Title
Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy
Aditya Vatsavai
Ganesh Narasimha
Yongtao Liu
Jan-Chi Yang
Hiroshu Funakubo
M. Ziatdinov
Rama K Vasudevan
19
0
0
28 Apr 2025
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Ric De Santi
Manish Prajapat
Andreas Krause
36
3
0
13 Jul 2024
SELFIES and the future of molecular string representations
Mario Krenn
Qianxiang Ai
Senja Barthel
Nessa Carson
Angelo Frei
...
Andrew Wang
Andrew D. White
A. Young
Rose Yu
A. Aspuru‐Guzik
22
146
0
31 Mar 2022
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang
Doyeong Hwang
Seul Lee
Seongok Ryu
Sung Ju Hwang
22
67
0
04 Oct 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
191
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
1