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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

C. Gehring, M. Asai, R. Chitnis, T. Silver, L. Kaelbling, S. Sohrabi, and M. Katz. CoRR, (2021)

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Marieta Ioana Toma

Zentrosomenmorphologie in Prostatakarzinomen: eine immunhistologische Studie mit Korrelation zu DNA-Ploidie und kliniko-pathologischen ParameternM. Toma. TU Dresden, (2008)

Tom Rapoport

Tom Herrmann

Tom Ritter

Tom Grigull

Other publications of authors with the same name

Few-Shot Bayesian Imitation Learning with Logic over Programs.T. Silver, K. Allen, A. Lew, L. Kaelbling, and J. Tenenbaum. CoRR, (2019)Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks.T. Silver, R. Chitnis, A. Curtis, J. Tenenbaum, T. Lozano-Pérez, and L. Kaelbling. CoRR, (2020)Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.C. Gehring, M. Asai, R. Chitnis, T. Silver, L. Kaelbling, S. Sohrabi, and M. Katz. CoRR, (2021)Generalized Planning in PDDL Domains with Pretrained Large Language Models.T. Silver, S. Dan, K. Srinivas, J. Tenenbaum, L. Kaelbling, and M. Katz. CoRR, (2023)Learning Neuro-Symbolic Skills for Bilevel Planning.T. Silver, A. Athalye, J. Tenenbaum, T. Lozano-Pérez, and L. Kaelbling. CoRL, volume 205 of Proceedings of Machine Learning Research, page 701-714. PMLR, (2022)PG3: Policy-Guided Planning for Generalized Policy Generation.R. Yang, T. Silver, A. Curtis, T. Lozano-Pérez, and L. Kaelbling. IJCAI, page 4686-4692. ijcai.org, (2022)Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics.K. Kansky, T. Silver, D. Mély, M. Eldawy, M. Lázaro-Gredilla, X. Lou, N. Dorfman, S. Sidor, D. Phoenix, and D. George. ICML, volume 70 of Proceedings of Machine Learning Research, page 1809-1818. PMLR, (2017)Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.T. Silver, R. Chitnis, N. Kumar, W. McClinton, T. Lozano-Pérez, L. Kaelbling, and J. Tenenbaum. CoRR, (2022)Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, and L. Kaelbling. CoRR, (2022)GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling.R. Chitnis, T. Silver, J. Tenenbaum, L. Kaelbling, and T. Lozano-Pérez. AAAI, page 11782-11791. AAAI Press, (2021)

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Disambiguation of "Silver, Tom"

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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

Please choose a person to relate this publication to

Marieta Ioana Toma

Tom Rapoport

Tom Herrmann

Tom Ritter

Tom Grigull

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Silver, Tom"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.

Please choose a person to relate this publication to

Marieta Ioana Toma

Tom Rapoport

Tom Herrmann

Tom Ritter

Tom Grigull

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.