Multiagent Deep Reinforcement Learning With Demonstration Cloning for Target Localization

• Published in: IEEE internet of things journal Vol. 10; no. 15; pp. 13556 - 13570
• Main Authors: Alagha, Ahmed, Mizouni, Rabeb, Bentahar, Jamal, Otrok, Hadi, Singh, Shakti
• Format: Journal Article
• Language: English
• Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.08.2023
• Subjects: Artificial neural networks; Cloning; Complexity; Data integration; Deep learning; Localization; Machine learning; Multiagent systems; Multisensor fusion; Optimization; Searching; Target recognition; Unmanned aerial vehicles

In target localization applications, readings from multiple sensing agents are processed to identify a target location. The localization systems using stationary sensors use data fusion methods to estimate the target location, whereas other systems use mobile sensing agents (UAVs, robots) to search...