2026-10-06T06:17:47Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34036665 2026-09-30T18:58:03Z category_28918 item_type_9 month_year_09_2026

Deep Reinforcement Learning for Adaptive AUV Navigation in Underwater Wireless Sensor Networks: Simulation and DQN Navigation Code Venkata Ratnam T (25145598) Software and application security deep reinforcement learning with paired embedding and graph attention network Underwater Wireless Sensor Networks (UWSNs) AUV control ACOUSTIC COMMUNICATION sensor drift <p dir="ltr">Python implementation supporting the simulation environment and Deep Q-Network (DQN)-based adaptive AUV navigation framework presented in the study “Deep Reinforcement Learning for Adaptive AUV Navigation in Underwater Wireless Sensor Networks.” The package contains the simulation environment, DQN agent, configuration parameters, training and evaluation routines, and supporting documentation for reproducibility.</p> 2026-09-30T18:58:03Z Software Software 10.6084/m9.figshare.34036665.v1 https://figshare.com/articles/software/Deep_Reinforcement_Learning_for_Adaptive_AUV_Navigation_in_Underwater_Wireless_Sensor_Networks_Simulation_and_DQN_Navigation_Code/34036665 CC BY 4.0