Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion

Lev Grossman, Brian Plancher

Deep reinforcement learning (DRL) is one of the most powerful tools for synthesizing complex robotic behaviors. But training DRL models is incredibly compute and memory intensive,…