Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor and Sarath Chandar Anbil Parthipan
Paper (2021)
An external link is available for this itemDepartment: | 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 |
---|---|
Statistics
Dimensions