Oct 13, 2023 · We develop three continuous control DRL-based localization estimators to address the localization problem in unsupervised, supervised, and semisupervised ...

This work first model the localization problem as a Markov decision process (MDP) with continuous state and action spaces and subsequently introduces a ...

Abstract—The localization of underwater acoustic sensor networks (UASNs) has emerged as a critical research area in the marine information fusion field.

Oct 13, 2023 · The localization of underwater acoustic sensor networks (UASNs) has emerged as a critical research area in the marine information fusion ...

In this paper we consider the issue of localization in the context of underwater sensor networks which contain anchor nodes with perfect knowledge of their ...

Asynchronous Localization for Underwater Acoustic Sensor Networks: A Continuous Control Deep Reinforcement Learning Approach. Article. Jan 2023.

Missing: Reinforcement Approach.

Asynchronous Localization for Underwater Acoustic Sensor Networks: A Continuous Control Deep Reinforcement Learning Approach ... Deep Credal Neural Network ...

Asynchronous Localization for Underwater Acoustic Sensor Networks: A Continuous Control Deep Reinforcement Learning Approach · Environmental Science, Engineering.

Liu, “Asynchronous localization for underwater acoustic sensor networks: A continuous control deep reinforcement learning approach,” IEEE Internet Things J ...