Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation

碩士 === 國立臺灣大學 === 資訊管理學研究所 === 106 === In the past few years, deep reinforcement learning has been proven that can solve problems which have complex states like video games or board games. The next step of intelligent agents would be able to generalize between tasks, using prior experience to pick u...

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Bibliographic Details
Main Authors: Shu-Hsuan Hsu, 許書軒
Other Authors: Bing-Yu Chen
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/xr95cu