KSC 2017
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
ºÎºÐ °¡°üÃø¼ºÀ» °í·ÁÇÏ´Â Four-rooms µµ¸ÞÀο¡¼ÀÇ °´Ã¼ ¼öÁý |
¿µ¹®Á¦¸ñ(English Title) |
Gathering Objects in Four-rooms Domain under Partially Observability1 |
ÀúÀÚ(Author) |
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Le Pham Tuyen
Abu Layek
Seung-yoon Choi
TaeChoong Chung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 44 NO. 02 PP. 0865 ~ 0867 (2017. 12) |
Çѱ۳»¿ë (Korean Abstract) |
Four-rooms domain is a challenging domain for testing hierarchical reinforcement learning algorithm. This paper shows that Deep Recurrent Q-Learning algorithm can achieve a good performance in this domain without using a hierarchical reinforcement learning algorithm. Especially, the algorithm works well in partially observation settings (POMDP).
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¿µ¹®³»¿ë (English Abstract) |
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Å°¿öµå(Keyword) |
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