Deep learning i Starcraft 2 : Autoencoders för att förbättra end-to-end learning
A problem for deep learning has for a long time been complex environments. Recently end-to-end learning agents have been used to master Atari games by processing raw pixel data into features and using these features to make good decisions. This method has not had the same success in the real time st...
| Main Authors: | , |
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| Format: | Others |
| Language: | Swedish |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25531 |