Neural probabilistic motor primitives for humanoid control

Josh Merel, Leonard Hasenclever, Alexandre Galashov +5

We focus on the problem of learning a single motor module that can flexibly express a range of behaviors for the control of high-dimensional physically simulated humanoids. To do t…