Juhyoung Lee, Sangyeob Kim, Jihoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, H. Yoo
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摘要

深度强化学习(DRL)▪无预标记数据有试错训练!-应用:游戏代理,自主系统,代理适应
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data
Deep Reinforcement Learning (DRL)▪ No Pre-labelled Data ➔ Training with Trial-and-errors!– Sequential decision making problems @ Unknown environments– Applications: gaming agent, autonomous systems, agent adaptation
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