Journal of Sensor and Actuator Networks, Volume 11, Issue 3
2022 September - 26 articles
Cover Story: The multi-agent deep reinforcement learning (MADRL) system consists of various clusters of agents. The deep Q-network (DQN) algorithm presents the first cluster's agent structure. The other clusters are considered as an environment of the first cluster's DQN agent. We introduce two novel observations in data transmission, termed on-time and time-delay observations. By considering the distance between the neighboring agents, we present a novel immediate reward function by appending a distance-based reward to the previously utilized reward to improve the MADRL system performance. We consider three types of gradient-based attacks to investigate the robustness of the proposed system data transmission. Two defense methods are proposed to reduce the effects of the malicious attacks. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.