Behavior Cloning by RL-based Decision Tree
碩士 === 國立中正大學 === 電機工程所 === 95 === It is hard to define a state space or the proper reward function in reinforcement learning to make the robot act as expected. In this paper, we demonstrate the expected behavior for a robot. Then a RL-based decision tree approach which decides to split according to...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/32882692325935020525 |