R, C. K., Parate, P., K, P. P., & Rao, M. (2026). QXL - A Scalable Hardware Framework for Tabular Q-Learning Inference on RISC-V. 2026 IEEE 37th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Application-specific Systems, Architectures and Processors (ASAP), 2026 IEEE 37th International Conference on, ASAP, 141. https://doi.org/10.1109/ASAP71856.2026.00030
Παραπομπή σε μορφή Chicago (17η εκδ.)R, Chinmay Krishna, Pruthvi Parate, Phani Pavan K, και Madhav Rao. "QXL - A Scalable Hardware Framework for Tabular Q-Learning Inference on RISC-V." 2026 IEEE 37th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Application-specific Systems, Architectures and Processors (ASAP), 2026 IEEE 37th International Conference on, ASAP 2026: 141. https://doi.org/10.1109/ASAP71856.2026.00030.
Παραπομπή σε μορφή MLA (9th εκδ.)R, Chinmay Krishna, et al. "QXL - A Scalable Hardware Framework for Tabular Q-Learning Inference on RISC-V." 2026 IEEE 37th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Application-specific Systems, Architectures and Processors (ASAP), 2026 IEEE 37th International Conference on, ASAP, 2026, p. 141, https://doi.org/10.1109/ASAP71856.2026.00030.