RANDPOL: Parameter-Efficient End-to-End Quadruped Locomotion via Randomized Policy Learning

Zhuochen Liu, Rahul Jain, Quan Nguyen

Modern learning-based locomotion controllers typically rely on fully trainable deep neural networks with a large number of parameters. This paper studies a different design point f…