no code implementations • 14 Sep 2019 • Saif Alabachi, Gita Sukthankar, Rahul Sukthankar
This paper describes two key innovations required to deploy deep reinforcement learning models on a real robot: 1) an abstract state representation for transferring learning from simulation to the hardware platform, and 2) reward shaping and staging paradigms for training the controller.
