<  Back to the Polytechnique Montréal portal

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.

Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar Anbil Parthipan and Yoshua Bengio

Paper (2020)

Open Acess document at official publisher

Document published while its authors were not affiliated with Polytechnique Montréal

An external link is available for this item
PolyPublie URL: https://publications.polymtl.ca/46160/
Conference Title: 37th International Conference on Machine Learning (ICML 2020)
Conference Location: Vienna, Austria
Conference Date(s): 2020-07-12 - 2020-07-18
DOI: 10.48550/arxiv.2004.12485
Official URL: https://doi.org/10.48550/arxiv.2004.12485
Date Deposited: 18 Apr 2023 15:00
Last Modified: 08 Apr 2025 12:23
Cite in APA 7: Gottipati, S. K., Sattarov, B., Niu, S., Pathak, Y., Wei, H., Liu, S., Thomas, K. M. J., Blackburn, S., Coley, C. W., Tang, J., Anbil Parthipan, S. C., & Bengio, Y. (2020, July). Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. [Paper]. 37th International Conference on Machine Learning (ICML 2020), Vienna, Austria. https://doi.org/10.48550/arxiv.2004.12485

Statistics

Dimensions

Repository Staff Only

View Item View Item