Hello, We have applied our OgmaNeo2 online/incremental learning software to the problem of robotic quadruped control. We learned a slightly faster policy than the hand-coded one using reinforcement learning (RL). For this experiment, we used the Stanford Pupper robot designed by the Stanford Robotics Club – and made use of its hand-coded policy as a…
Month: May 2020
A Tutorial on OgmaNeo2
It’s about time we make a tutorial on OgmaNeo2. This tutorial will focus on the Python bindings, PyOgmaNeo2 – which more or less mirrors the C++ API. We will show you how to create a (very) simple “wavy line prediction” example, from which you will learn the key concepts of OgmaNeo2. What is OgmaNeo2? In…