OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research

Understand

Success stories of applied machine learning can be traced back to the datasets and environments that were put forward as challenges for the community.

• The challenge that the community sets as a benchmark is usually the challenge that the community eventually solves.
• The ultimate challenge of reinforcement learning research is to train real agents to operate in the real environment, but until now there has not been a common real-world RL benchmark.
• In this work, we present a prototype real-world environment from OffWorld Gym -- a collection of real-world environments for reinforcement learning in robotics with free public remote access.