Policy abstraction for transfer learning using learning vector quantization in reinforcement learning framework
People grow up every day exposed to the infinite state space environment interacting with active biological subjects and machines. There are routines that are always expected and unpredicted events that are not completely known beforehand as well. When people interact with the future routines, they...
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| Format: | Thesis |
| Language: | English English English |
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2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/13521/ http://umpir.ump.edu.my/id/eprint/13521/ http://umpir.ump.edu.my/id/eprint/13521/1/FKEE%20-%20AHMAD%20AFIF%20MOHD%20FAUDZI.PDF http://umpir.ump.edu.my/id/eprint/13521/2/FKEE%20-%20AHMAD%20AFIF%20MOHD%20FAUDZI%20-%20CHAP%201.PDF http://umpir.ump.edu.my/id/eprint/13521/3/FKEE%20-%20AHMAD%20AFIF%20MOHD%20FAUDZI%20-%20CHAP%203.PDF |