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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Bibliographic Details
Main Authors: Yin, Haiyan, Pan, Sinno Jialin
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access: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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Institution: Nanyang Technological University
Language: English
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