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

Bibliographic Details
Main Authors: Chitnis, Rohan, Silver, Tom, Tenenbaum, Joshua, Kaelbling, Leslie Pack, Lozano-Perez, Tomas, Intelligence, Assoc Advancement Artificial
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2022
Online Access:https://hdl.handle.net/1721.1/143743
_version_ 1826217040974708736
author Chitnis, Rohan
Silver, Tom
Tenenbaum, Joshua
Kaelbling, Leslie Pack
Lozano-Perez, Tomas
Intelligence, Assoc Advancement Artificial
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Chitnis, Rohan
Silver, Tom
Tenenbaum, Joshua
Kaelbling, Leslie Pack
Lozano-Perez, Tomas
Intelligence, Assoc Advancement Artificial
author_sort Chitnis, Rohan
collection MIT
first_indexed 2024-09-23T16:57:08Z
format Article
id mit-1721.1/143743
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T16:57:08Z
publishDate 2022
record_format dspace
spelling mit-1721.1/1437432023-02-15T20:12:28Z GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Chitnis, Rohan Silver, Tom Tenenbaum, Joshua Kaelbling, Leslie Pack Lozano-Perez, Tomas Intelligence, Assoc Advancement Artificial Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-07-14T18:53:30Z 2022-07-14T18:53:30Z 2021 2022-07-14T18:35:00Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/143743 Chitnis, Rohan, Silver, Tom, Tenenbaum, Joshua, Kaelbling, Leslie Pack, Lozano-Perez, Tomas et al. 2021. "GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling." 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, 35. en 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 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Association for the Advancement of Artificial Intelligence (AAAI)
spellingShingle Chitnis, Rohan
Silver, Tom
Tenenbaum, Joshua
Kaelbling, Leslie Pack
Lozano-Perez, Tomas
Intelligence, Assoc Advancement Artificial
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title_full GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title_fullStr GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title_full_unstemmed GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title_short GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
title_sort glib efficient exploration for relational model based reinforcement learning via goal literal babbling
url https://hdl.handle.net/1721.1/143743
work_keys_str_mv AT chitnisrohan glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling
AT silvertom glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling
AT tenenbaumjoshua glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling
AT kaelblinglesliepack glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling
AT lozanopereztomas glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling
AT intelligenceassocadvancementartificial glibefficientexplorationforrelationalmodelbasedreinforcementlearningviagoalliteralbabbling