Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor et Sarath Chandar Anbil Parthipan
Communication écrite (2021)
Un lien externe est disponible pour ce document| Département: | Département de génie informatique et génie logiciel |
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| ISBN: | 9781577358664 |
| 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: | 08 avr. 2025 14:40 |
| 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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