After being trained entirely in simulation, an RMA-enabled robot is then deployed in the real world, where its base policy and adaptation module work asynchronously to enable it to adapt in real time. https://twitter.com/...
RMA uses a novel combination of two policies, both learned entirely in simulation — a base policy trained through reinforcement learning (RL) and an adaptation module trained using supervised learning. https://twitter.com/...
Researchers from Facebook AI, @berkeley_ai, and @SCSatCMU have developed #AI that can enable a legged robot to adapt in fractions of a second to changing conditions in the real world. https://twitter.com/...