Hu, Pihe

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch

2023 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Training deep reinforcement learning (DRL) models usually requires high computation costs. Therefore, compressing DRL models possesses immense potential for training acceleration and model deployment. However, existing methods that generate small models mainly adopt the knowledge …