GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
2022
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Online Access: | https://hdl.handle.net/1721.1/143743 |
_version_ | 1826217040974708736 |
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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 |
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