开源软件名称(OpenSource Name):henkwymeersch/DeepRLVehicularLocalization开源软件地址(OpenSource Url):https://github.com/henkwymeersch/DeepRLVehicularLocalization开源编程语言(OpenSource Language):Python 100.0%开源软件介绍(OpenSource Introduction):Deep RL for Vehicular LocalizationDecentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning SummaryThis Python code learns and executes decentralized scheduling for cooperative localization of vehicles. Each link in the vehicular network is considered an agent and must decide whether or not to measure (using a radar-type measurement) based on the local network state. The goal is to localize all the vehicles as quickly as possible. Two methods are provided: a DQN implementation and a policy gradient (PG) implementation. We found that the PG version is more stable. UsageThe code is used as follows (example for PG):
AuthorsThe code was authored by Dr. Bile Peng, while he was a Postdoctoral Researcher at Chalmers University of Technology. For questions, please contact bile.peng@gmail.com If you use this codeIf you use or extend this code, please cite our work. B. Peng, G. Seco-Granados, E. Steinmetz, M. Fröhle and H. Wymeersch, "Decentralized Scheduling for Cooperative Localization With Deep Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4295-4305, May 2019. doi: 10.1109/TVT.2019.2913695
|
2023-10-27
2022-08-15
2022-08-17
2022-09-23
2022-08-13
请发表评论