Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision

Johan Bjorck, Xiangyu Chen, Christopher De Sa +2

Low-precision training has become a popular approach to reduce compute requirements, memory footprint, and energy consumption in supervised learning. In contrast, this promising ap…