A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

This is the main conclusion of a study led by the ICM-CSIC recently published in the prestigious journal Science Robotics Currently, underwater robotics is emerging as a key tool for improving ...