A SOM-based Fuzzy Systems Q-learning in Continuous State and Action Space
碩士 === 國立中央大學 === 資訊工程研究所 === 94 === In reinforcement learning, there is no supervisor to critically judge the chosen action at each step. The learning is through a trial-and-error procedure interacting with a dynamic environment. Q-learning is one popular approach to reinforcement learning. It is w...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/u58495 |