Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

The process for transferring knowledge of multiple reinforcement learning policies into a single multi-task policy via distillation technique is known as policy distillation. When policy distillation is under a deep reinforcement learning setting, due to the giant parameter size and the huge state s...

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書目詳細資料
Main Authors:	Yin, Haiyan, Pan, Sinno Jialin
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2017
主題:	Deep reinforcement learning Policy distillation
在線閱讀:	https://hdl.handle.net/10356/83043 http://hdl.handle.net/10220/42453 https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14478
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