Carlos Calderon Cordova

Scientific Researcher • Professor • Industrial Digital Transformation

A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments


Journal article


Carlos Calderon-Cordova, Roger Sarango, Darwin Castillo, Vasudevan Lakshminarayanan
IEEE Access, vol. 12, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 103133 – 103161


Cite

Cite

APA   Click to copy
Calderon-Cordova, C., Sarango, R., Castillo, D., & Lakshminarayanan, V. (2024). A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments. IEEE Access, 12, 103133–103161. https://doi.org/10.1109/ACCESS.2024.3432741


Chicago/Turabian   Click to copy
Calderon-Cordova, Carlos, Roger Sarango, Darwin Castillo, and Vasudevan Lakshminarayanan. “A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments.” IEEE Access 12 (2024): 103133–103161.


MLA   Click to copy
Calderon-Cordova, Carlos, et al. “A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments.” IEEE Access, vol. 12, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 103133–61, doi:10.1109/ACCESS.2024.3432741.


BibTeX   Click to copy

@article{calderon-cordova2024a,
  title = {A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments},
  year = {2024},
  journal = {IEEE Access},
  pages = {103133 – 103161},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  volume = {12},
  doi = {10.1109/ACCESS.2024.3432741},
  author = {Calderon-Cordova, Carlos and Sarango, Roger and Castillo, Darwin and Lakshminarayanan, Vasudevan}
}