FPGA Architecture for Deep Learning and its application to Planetary Robotics

no code implementations • 26 Jan 2017 • Pranay Gankidi, Jekan Thangavelautham

However, embedded systems onboard planetary rovers and spacecraft rarely implement learning algorithms due to the constraints faced in the field, like processing power, chip size, convergence rate and costs due to the need for radiation hardening.

Q-Learning