Learning to walk (faster) with OgmaNeo2
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…