Skip to content

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 

Repository files navigation

UAV_energy_analysis_SDQN

This pdf is an extension the paper 'Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications' and explains the UAV energy model used to calculate the communication efficiency in kB/J when communication with mobile ground users. The original paper may be found at https://doi.org/10.48550/arXiv.2303.16737.

Please refer the publication if you use this information in any way.

@article{rizvi2023multi, title={Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications}, author={Rizvi, Danish and Boyle, David}, journal={arXiv preprint arXiv:2303.16737}, year={2023} }

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors