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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > KSC 2017

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) ·¹ÆÊÅõ¿º   ¶ó¿¢¿¥µð¾ÆºÎ   ÃÖ½ÂÀ±   Á¤ÅÂÃæ   Le Pham Tuyen   Abu Layek   Seung-yoon Choi   TaeChoong Chung  
¿ø¹®¼ö·Ïó(Citation) VOL 44 NO. 02 PP. 0865 ~ 0867 (2017. 12)
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(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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(English Abstract)
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