Fei Huang

Formation control for multiple similar autonomous underwater vehicles with dynamic gaps via deep reinforcement learning

Dynamic gaps between simulation and real world environments are the major challenge for the implementation of deep reinforcement learning (RL) based formation control methods in systems composed of multiple similar autonomous underwater vehicles (AUVs), mainly involving hydrodynamic parameters and unknown disturbances....