robo-gym – An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
Matteo Lucchi,Friedemann Zindler,Stephan Mühlbacher-Karrer,Horst Pichler,Matteo Lucchi,Friedemann Zindler,Stephan Mühlbacher-Karrer,Horst Pichler
Applying Deep Reinforcement Learning (DRL) to complex tasks in the field of robotics has proven to be very successful in the recent years. However, most of the publications focus either on applying it to a task in simulation or to a task in a real world setup. Although there are great examples of combining the two worlds with the help of transfer learning, it often requires a lot of additional wor...
