S. K. Gottipati, Y. Pathak, B. Sattarov, Sahir, R. Nuttall, M. Amini, M. E. Taylor et Sarath Chandar Anbil Parthipan
Communication écrite (2021)
Un lien externe est disponible pour ce documentDépartement: | Département de génie informatique et génie logiciel |
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URL de PolyPublie: | https://publications.polymtl.ca/48688/ |
Nom de la conférence: | 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence |
Date(s) de la conférence: | 2021-02-02 - 2021-02-09 |
Maison d'édition: | Assoc Advancement Artificial Intelligence |
DOI: | 10.1609/aaai.v35i1.16087 |
URL officielle: | https://doi.org/10.1609/aaai.v35i1.16087 |
Date du dépôt: | 18 avr. 2023 14:59 |
Dernière modification: | 25 sept. 2024 16:37 |
Citer en APA 7: | Gottipati, S. K., Pathak, Y., Sattarov, B., Sahir, Nuttall, R., Amini, M., Taylor, M. E., & Anbil Parthipan, S. C. (février 2021). Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery [Communication écrite]. 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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