Shihao Hu

Learning Locomotion for Quadruped Robots via Distributional Ensemble Actor-Critic

Domain randomization introduces perturbations in the simulation to make controllers less susceptible to the reality gap, which enables remarkable sim-to-real transfer on real quadruped robots. However, aleatoric uncertainty originating from perturbations could often lead to suboptimal controllers. I