S. K. Gottipati, Y. Pathak, B. Sattarov, Sahir, R. Nuttall, M. Amini, M. E. Taylor and Sarath Chandar Anbil Parthipan
Paper (2021)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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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 |
Official URL: | https://ojs.aaai.org/index.php/AAAI/article/view/1... |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 31 Jul 2023 16:25 |
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://ojs.aaai.org/index.php/AAAI/article/view/16087 |
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