An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
Marco Ewerton,Angel Martínez-González,Jean-Marc Odobez,Marco Ewerton,Angel Martínez-González,Jean-Marc Odobez
Humans effortlessly solve pushing tasks in everyday life but unlocking these capabilities remains a challenge in robotics because physics models of these tasks are often inaccurate or unattainable. State-of-the-art data-driven approaches learn to compensate for these inaccuracies or replace the approximated physics models altogether. Nevertheless, approaches like Deep Q-Networks (DQNs) suffer from...
