Carlos Sepúlveda

Critic-Free DRL framework optimizes maritime path planning

Researchers have developed a novel Critic-Free Deep Reinforcement Learning (DRL) framework for maritime coverage path planning on irregular hexagonal grids. This approach utilizes a Transformer-based pointer policy to c…