… based on deep reinforcement learning for curved path following of marine vessels in the …
It turned our that the transfer learning approach was much faster while achieving indistin…

… Next, we apply deep reinforcement learning to automatically learn maintenance priorities …
ensuring prioritized vessel transfers for critical conditions, and deciding on optimal vessel fleet …

… and catheter-vessel interaction, a deep reinforcement learning … scenario and a deep
reinforcement learning based policy … two parts and deep reinforcement learning related part will …

… Here, we introduce a deep reinforcement learning (RL) … using human demonstrations,
transfer learning, and weight … to a target location at the main vessel or a side branch in a 2D …

… for knowledge transfer (KT) to improve deep reinforcement … , reinforcement learning training
and knowledge transfer. … decisions for ships hinge on the vessel’s state. To ensure effective …

… vessel, and the momentum transfer W g of the river and induced currents which also includes
the gravitational pull by the slope of the water surface. The thrust T p r o p depends on the …

… of vessel collisions, ensuring safe navigation. This study develops a multi-vessel automatic
… based on deep reinforcement learning (DRL) and establishes a vessel behavior decision …

… , it leads to inconsistent vessel behavior due to the condition … transfer learning, domain
transfer and knowledge transfer … Existing work dedicated to cross-task transfer in autonomous …

… reinforcement learning is designed for establishing an obstacle avoidance strategy of an
autonomous surface vessel … corresponding rudder angle and transfer relevant information to the …

… deep reinforcement learning with episodic policy transfer is, … The reinforcement model aids
the agent to continuously learn … which makes the blood vessel susceptible to fatal damages …