Ding, T., Song, L., & Ge, M. (2023). Quantized-data resource allocation for reinforcement learning cooperative control of networked Euler-Lagrange agents with input saturation. Journal of the Franklin Institute, 360(16), 12076. https://doi.org/10.1016/j.jfranklin.2023.09.012
Chicago Style (17th ed.) CitationDing, Teng-Fei, Li-Ping Song, and Ming-Feng Ge. "Quantized-data Resource Allocation for Reinforcement Learning Cooperative Control of Networked Euler-Lagrange Agents with Input Saturation." Journal of the Franklin Institute 360, no. 16 (2023): 12076. https://doi.org/10.1016/j.jfranklin.2023.09.012.
MLA (9th ed.) CitationDing, Teng-Fei, et al. "Quantized-data Resource Allocation for Reinforcement Learning Cooperative Control of Networked Euler-Lagrange Agents with Input Saturation." Journal of the Franklin Institute, vol. 360, no. 16, 2023, p. 12076, https://doi.org/10.1016/j.jfranklin.2023.09.012.