Method for improving throughput of reinforcement learning system

• Main Authors: XIN YUSONG, LI KEQIU, HU YITAO, ZHAO ZHIXIN, DAI XIN'AN, ZHAO LAIPING
• Format: Patent
• Language: Chinese; English
• Published: 14.07.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses a method for improving throughput of a reinforcement learning system, and the method comprises the following steps: starting an RL training task, deriving optimal global configuration by a coordinator according to task configuration and hardware information, and then starting...