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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/xr95cu |