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2004.12485
Cited By
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
26 April 2020
S. Gottipati
B. Sattarov
Sufeng Niu
Yashaswi Pathak
Haoran Wei
Shengchao Liu
Karam M. J. Thomas
Simon R. Blackburn
Connor W. Coley
Jian Tang
Sarath Chandar
Yoshua Bengio
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Papers citing
"Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning"
25 / 25 papers shown
Title
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang
Jeff Guo
Lingkai Kong
R. Ramprasad
Philippe Schwaller
Yuanqi Du
Chao Zhang
31
0
0
11 May 2025
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
40
1
0
11 Jan 2025
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo
Minsu Kim
Tony Shen
Martin Ester
Jinkyoo Park
Sungsoo Ahn
Woo Youn Kim
42
3
0
06 Oct 2024
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu
Chih-chan Tien
Peng Ding
Songhao Jiang
Rick L. Stevens
45
4
0
11 Jun 2024
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning
Md Saiful Islam
Srijita Das
S. Gottipati
William Duguay
Clodéric Mars
Jalal Arabneydi
Antoine Fagette
Matthew J. Guzdial
Matthew E. Taylor
38
1
0
23 Dec 2023
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
10
0
28 Aug 2023
Utilizing Reinforcement Learning for de novo Drug Design
Hampus Gummesson Svensson
C. Tyrchan
O. Engkvist
M. Chehreghani
33
17
0
30 Mar 2023
Bridging Machine Learning and Sciences: Opportunities and Challenges
Taoli Cheng
UQCV
OOD
AI4CE
27
2
0
24 Oct 2022
Conditional
β
β
β
-VAE for De Novo Molecular Generation
Ryan J. Richards
A. Groener
BDL
DRL
24
10
0
01 May 2022
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks
Qi Zhang
Chang Liu
Stephen Wu
Ryo Yoshida
BDL
32
3
0
01 Mar 2022
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology
Hiroshi Kajino
Kohei Miyaguchi
Takayuki Osogami
59
1
0
28 Jan 2022
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Siqi Hong
Hankui Zhuo
Kebing Jin
Guang Shao
Zhanwen Zhou
20
23
0
11 Dec 2021
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
31
13
0
06 Oct 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang
Doyeong Hwang
Seul Lee
Seongok Ryu
Sung Ju Hwang
34
67
0
04 Oct 2021
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
25
75
0
22 Sep 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
24
306
0
08 Jun 2021
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
AkshatKumar Nigam
R. Pollice
Alán Aspuru-Guzik
29
51
0
07 Jun 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
33
261
0
18 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
51
56
0
21 Dec 2020
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design
Cheng-Hao Liu
Maksym Korablyov
Stanislaw Jastrzebski
Pawel Wlodarczyk-Pruszynski
Yoshua Bengio
Marwin H. S. Segler
GNN
32
16
0
25 Nov 2020
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn
Junsup Kim
Hankook Lee
Jinwoo Shin
29
70
0
04 Jul 2020
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikolaj Sacha
Mikolaj Blaz
Piotr Byrski
Paweł Dąbrowski-Tumański
Mikołaj Chromiński
Rafał Loska
Pawel Wlodarczyk-Pruszynski
Stanislaw Jastrzebski
GNN
25
142
0
27 Jun 2020
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
197
633
0
29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
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