Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery

Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor and Sarath Chandar Anbil Parthipan

Paper (2021)

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Department:	Department of Computer Engineering and Software Engineering
ISBN:	9781577358664
PolyPublie URL:	https://publications.polymtl.ca/48688/
Conference Title:	35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence
Conference Date(s):	2021-02-02 - 2021-02-09
Publisher:	Assoc Advancement Artificial Intelligence
DOI:	10.1609/aaai.v35i1.16087
Official URL:	https://doi.org/10.1609/aaai.v35i1.16087
Date Deposited:	18 Apr 2023 14:59
Last Modified:	08 Apr 2025 14:40

Cite in APA 7:

Gottipati, S. K., Pathak, Y., Sattarov, B., Sahir, Nuttall, R., Amini, M., Taylor, M. E., & Anbil Parthipan, S. C. (2021, February). Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery [Paper]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. https://doi.org/10.1609/aaai.v35i1.16087

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