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

S. K. Gottipati, Y. Pathak, B. Sattarov, Sahir, R. Nuttall, M. Amini, M. E. Taylor et Sarath Chandar Anbil Parthipan

Communication écrite (2021)

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Département: Département de génie informatique et génie logiciel
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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