Aiming at the problems of low success rate and slow learning speed of the DDPG algorithm
in path planning of a mobile robot in a dynamic environment, an improved DDPG algorithm …

In response to the limitations of the DQN algorithm in adaptability, which result in a low
success rate in ship path planning, this paper introduces an improved algorithm based on …

Path planning in complex environments remains a challenging task for unmanned vehicles.
In this paper, we propose a decoupled path-planning algorithm with the help of a deep …

Aiming at the problems of low success rate and slow learning speed of DDPG algorithm in
dynamic environment path planning, an improved DDPG algorithm is designed. In this …

Autonomous-Driving technology has begun to bring great convenience to daily trip,
transportation, and surveying harsh environment. Considering that deep reinforcement …