GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

Bibliographic Details
Main Authors:	Chitnis, Rohan (Author), Silver, Tom (Author), Tenenbaum, Joshua (Author), Kaelbling, Leslie Pack (Author), Lozano-Perez, Tomas (Author), Intelligence, Assoc Advancement Artificial (Author)
Format:	Article
Language:	English
Published:	2022-07-14T18:53:30Z.
Subjects:	Article
Online Access:	Get fulltext


LEADER	00836 am a22001933u 4500
001	143743
042			\|a dc
100	1	0	\|a Chitnis, Rohan \|e author
700	1	0	\|a Silver, Tom \|e author
700	1	0	\|a Tenenbaum, Joshua \|e author
700	1	0	\|a Kaelbling, Leslie Pack \|e author
700	1	0	\|a Lozano-Perez, Tomas \|e author
700	1	0	\|a Intelligence, Assoc Advancement Artificial \|e author
245	0	0	\|a GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
260			\|c 2022-07-14T18:53:30Z.
856			\|z Get fulltext \|u https://hdl.handle.net/1721.1/143743
546			\|a en
655	7		\|a Article
773			\|t THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

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