Johan Björck

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

Low-precision training has become a popular approach to reduce compute requirements, memory footprint, and energy consumption in supervised learning. In contrast, this promising approach has not yet enjoyed similarly widespread adoption within the reinforcement learning (RL) community, partly becaus…