We present a strategy for simulation-to-real transfer, which builds on recent advances in
robot skill decomposition. Rather than focusing on minimizing the simulation–reality gap, we …

The interface between machine learning and control has enabled robots to move outside the
laboratory into challenging real-world settings. Deep reinforcement learning can scale …