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@inproceedings{DBLP:conf/iclr/HuangL024,
author = {Ruiquan Huang and
Yingbin Liang and
Jing Yang},
title = {Provably Efficient UCB-type Algorithms For Learning Predictive State
Representations},
booktitle = {The Twelfth International Conference on Learning Representations,
{ICLR} 2024, Vienna, Austria, May 7-11, 2024},
publisher = {OpenReview.net},
year = {2024},
url = {https://openreview.net/forum?id=jId5PXbBbX},
timestamp = {Wed, 07 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/HuangL024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-08237,
author = {Oli Danyi Liu and
Hao Tang and
Naomi Feldman and
Sharon Goldwater},
title = {A predictive learning model can simulate temporal dynamics and context
effects found in neural representations of continuous speech},
journal = {CoRR},
volume = {abs/2405.08237},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2405.08237},
doi = {10.48550/ARXIV.2405.08237},
eprinttype = {arXiv},
eprint = {2405.08237},
timestamp = {Sat, 15 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2405-08237.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/make/AraujoMS23,
author = {Vladimir Araujo and
Marie{-}Francine Moens and
Alvaro Soto},
title = {Learning Sentence-Level Representations with Predictive Coding},
journal = {Mach. Learn. Knowl. Extr.},
volume = {5},
number = {1},
pages = {59--77},
year = {2023},
url = {https://doi.org/10.3390/make5010005},
doi = {10.3390/MAKE5010005},
timestamp = {Sat, 29 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/make/AraujoMS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cvpr/WangWY023,
author = {Zihao Wang and
Chunxu Wu and
Yifei Yang and
Zhen Li},
title = {Learning Transformation-Predictive Representations for Detection and
Description of Local Features},
booktitle = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2023, Vancouver, BC, Canada, June 17-24, 2023},
pages = {11464--11473},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/CVPR52729.2023.01103},
doi = {10.1109/CVPR52729.2023.01103},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/cvpr/WangWY023.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iccsa/MedinaOrtizSCDOP23,
author = {David Medina{-}Ortiz and
Pedro Salinas and
Gabriel Cabas{-}Moras and
Fabio Dur{\'{a}}n{-}Verdugo and
Alvaro Olivera{-}Nappa and
Roberto Uribe Paredes},
editor = {Osvaldo Gervasi and
Beniamino Murgante and
David Taniar and
Bernady O. Apduhan and
Ana Cristina Braga and
Chiara Garau and
Anastasia Stratigea},
title = {Exploring Machine Learning Algorithms and Numerical Representations
Strategies to Develop Sequence-Based Predictive Models for Protein
Networks},
booktitle = {Computational Science and Its Applications - {ICCSA} 2023 - 23rd International
Conference, Athens, Greece, July 3-6, 2023, Proceedings, Part {I}},
series = {Lecture Notes in Computer Science},
volume = {13956},
pages = {231--244},
publisher = {Springer},
year = {2023},
url = {https://doi.org/10.1007/978-3-031-36805-9\_16},
doi = {10.1007/978-3-031-36805-9\_16},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iccsa/MedinaOrtizSCDOP23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/ZhanU0L23,
author = {Wenhao Zhan and
Masatoshi Uehara and
Wen Sun and
Jason D. Lee},
title = {{PAC} Reinforcement Learning for Predictive State Representations},
booktitle = {The Eleventh International Conference on Learning Representations,
{ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},
publisher = {OpenReview.net},
year = {2023},
url = {https://openreview.net/forum?id=FVW7Mi2ph6C},
timestamp = {Wed, 24 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/ZhanU0L23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/uai/ZhangRXXGS023,
author = {Tianjun Zhang and
Tongzheng Ren and
Chenjun Xiao and
Wenli Xiao and
Joseph E. Gonzalez and
Dale Schuurmans and
Bo Dai},
editor = {Robin J. Evans and
Ilya Shpitser},
title = {Energy-based Predictive Representations for Partially Observed Reinforcement
Learning},
booktitle = {Uncertainty in Artificial Intelligence, {UAI} 2023, July 31 - 4 August
2023, Pittsburgh, PA, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {216},
pages = {2477--2487},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v216/zhang23b.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/uai/ZhangRXXGS023.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-02330,
author = {Xia Xu and
Jochen Triesch},
title = {{CIPER:} Combining Invariant and Equivariant Representations Using
Contrastive and Predictive Learning},
journal = {CoRR},
volume = {abs/2302.02330},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.02330},
doi = {10.48550/ARXIV.2302.02330},
eprinttype = {arXiv},
eprint = {2302.02330},
timestamp = {Fri, 10 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-02330.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2307-00405,
author = {Ruiquan Huang and
Yingbin Liang and
Jing Yang},
title = {Provably Efficient UCB-type Algorithms For Learning Predictive State
Representations},
journal = {CoRR},
volume = {abs/2307.00405},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2307.00405},
doi = {10.48550/ARXIV.2307.00405},
eprinttype = {arXiv},
eprint = {2307.00405},
timestamp = {Wed, 16 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2307-00405.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-06932,
author = {Julia Huiming Wang and
Dexter Tsin and
Tatiana Engel},
title = {Predictive variational autoencoder for learning robust representations
of time-series data},
journal = {CoRR},
volume = {abs/2312.06932},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.06932},
doi = {10.48550/ARXIV.2312.06932},
eprinttype = {arXiv},
eprint = {2312.06932},
timestamp = {Thu, 04 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-06932.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-02972,
author = {Avi Ziskind and
Sujeong Kim and
Giedrius T. Burachas},
title = {Learning Invariant World State Representations with Predictive Coding},
journal = {CoRR},
volume = {abs/2207.02972},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.02972},
doi = {10.48550/ARXIV.2207.02972},
eprinttype = {arXiv},
eprint = {2207.02972},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-02972.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2207-05738,
author = {Wenhao Zhan and
Masatoshi Uehara and
Wen Sun and
Jason D. Lee},
title = {{PAC} Reinforcement Learning for Predictive State Representations},
journal = {CoRR},
volume = {abs/2207.05738},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2207.05738},
doi = {10.48550/ARXIV.2207.05738},
eprinttype = {arXiv},
eprint = {2207.05738},
timestamp = {Thu, 18 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2207-05738.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/aiedu/GedenECRAL21,
author = {Michael Geden and
Andrew Emerson and
Dan Carpenter and
Jonathan P. Rowe and
Roger Azevedo and
James C. Lester},
title = {Predictive Student Modeling in Game-Based Learning Environments with
Word Embedding Representations of Reflection},
journal = {Int. J. Artif. Intell. Educ.},
volume = {31},
number = {1},
pages = {1--23},
year = {2021},
url = {https://doi.org/10.1007/s40593-020-00220-4},
doi = {10.1007/S40593-020-00220-4},
timestamp = {Wed, 07 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/aiedu/GedenECRAL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icassp/EbbersKCH21,
author = {Janek Ebbers and
Michael Kuhlmann and
Tobias Cord{-}Landwehr and
Reinhold Haeb{-}Umbach},
title = {Contrastive Predictive Coding Supported Factorized Variational Autoencoder
For Unsupervised Learning Of Disentangled Speech Representations},
booktitle = {{IEEE} International Conference on Acoustics, Speech and Signal Processing,
{ICASSP} 2021, Toronto, ON, Canada, June 6-11, 2021},
pages = {3860--3864},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/ICASSP39728.2021.9414487},
doi = {10.1109/ICASSP39728.2021.9414487},
timestamp = {Fri, 09 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icassp/EbbersKCH21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/SchwarzerAGHCB21,
author = {Max Schwarzer and
Ankesh Anand and
Rishab Goel and
R. Devon Hjelm and
Aaron C. Courville and
Philip Bachman},
title = {Data-Efficient Reinforcement Learning with Self-Predictive Representations},
booktitle = {9th International Conference on Learning Representations, {ICLR} 2021,
Virtual Event, Austria, May 3-7, 2021},
publisher = {OpenReview.net},
year = {2021},
url = {https://openreview.net/forum?id=uCQfPZwRaUu},
timestamp = {Wed, 23 Jun 2021 17:36:39 +0200},
biburl = {https://dblp.org/rec/conf/iclr/SchwarzerAGHCB21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/interspeech/LiuCG21,
author = {Alexander H. Liu and
Yu{-}An Chung and
James R. Glass},
editor = {Hynek Hermansky and
Honza Cernock{\'{y}} and
Luk{\'{a}}s Burget and
Lori Lamel and
Odette Scharenborg and
Petr Motl{\'{\i}}cek},
title = {Non-Autoregressive Predictive Coding for Learning Speech Representations
from Local Dependencies},
booktitle = {22nd Annual Conference of the International Speech Communication Association,
Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021},
pages = {3730--3734},
publisher = {{ISCA}},
year = {2021},
url = {https://doi.org/10.21437/Interspeech.2021-349},
doi = {10.21437/INTERSPEECH.2021-349},
timestamp = {Tue, 11 Jun 2024 16:45:43 +0200},
biburl = {https://dblp.org/rec/conf/interspeech/LiuCG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-14131,
author = {Sathyanarayanan N. Aakur and
Sudeep Sarkar},
title = {Learning Actor-centered Representations for Action Localization in
Streaming Videos using Predictive Learning},
journal = {CoRR},
volume = {abs/2104.14131},
year = {2021},
url = {https://arxiv.org/abs/2104.14131},
eprinttype = {arXiv},
eprint = {2104.14131},
timestamp = {Tue, 04 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2104-14131.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ploscb/LehnertLF20,
author = {Lucas Lehnert and
Michael L. Littman and
Michael J. Frank},
title = {Reward-predictive representations generalize across tasks in reinforcement
learning},
journal = {PLoS Comput. Biol.},
volume = {16},
number = {10},
year = {2020},
url = {https://doi.org/10.1371/journal.pcbi.1008317},
doi = {10.1371/JOURNAL.PCBI.1008317},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ploscb/LehnertLF20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/corl/YanVAP20,
author = {Wilson Yan and
Ashwin Vangipuram and
Pieter Abbeel and
Lerrel Pinto},
editor = {Jens Kober and
Fabio Ramos and
Claire J. Tomlin},
title = {Learning Predictive Representations for Deformable Objects Using Contrastive
Estimation},
booktitle = {4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020,
Virtual Event / Cambridge, MA, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {155},
pages = {564--574},
publisher = {{PMLR}},
year = {2020},
url = {https://proceedings.mlr.press/v155/yan21a.html},
timestamp = {Tue, 18 Oct 2022 08:35:37 +0200},
biburl = {https://dblp.org/rec/conf/corl/YanVAP20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GuoPPGAMA20,
author = {Zhaohan Daniel Guo and
Bernardo {\'{A}}vila Pires and
Bilal Piot and
Jean{-}Bastien Grill and
Florent Altch{\'{e}} and
R{\'{e}}mi Munos and
Mohammad Gheshlaghi Azar},
title = {Bootstrap Latent-Predictive Representations for Multitask Reinforcement
Learning},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {3875--3886},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/guo20g.html},
timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/GuoPPGAMA20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-05436,
author = {Wilson Yan and
Ashwin Vangipuram and
Pieter Abbeel and
Lerrel Pinto},
title = {Learning Predictive Representations for Deformable Objects Using Contrastive
Estimation},
journal = {CoRR},
volume = {abs/2003.05436},
year = {2020},
url = {https://arxiv.org/abs/2003.05436},
eprinttype = {arXiv},
eprint = {2003.05436},
timestamp = {Tue, 17 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2003-05436.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2004-14646,
author = {Zhaohan Daniel Guo and
Bernardo {\'{A}}vila Pires and
Bilal Piot and
Jean{-}Bastien Grill and
Florent Altch{\'{e}} and
R{\'{e}}mi Munos and
Mohammad Gheshlaghi Azar},
title = {Bootstrap Latent-Predictive Representations for Multitask Reinforcement
Learning},
journal = {CoRR},
volume = {abs/2004.14646},
year = {2020},
url = {https://arxiv.org/abs/2004.14646},
eprinttype = {arXiv},
eprint = {2004.14646},
timestamp = {Wed, 03 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2004-14646.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2005-12963,
author = {Janek Ebbers and
Michael Kuhlmann and
Reinhold Haeb{-}Umbach},
title = {Adversarial Contrastive Predictive Coding for Unsupervised Learning
of Disentangled Representations},
journal = {CoRR},
volume = {abs/2005.12963},
year = {2020},
url = {https://arxiv.org/abs/2005.12963},
eprinttype = {arXiv},
eprint = {2005.12963},
timestamp = {Fri, 29 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2005-12963.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-15110,
author = {Daniel Graves and
Nhat M. Nguyen and
Kimia Hassanzadeh and
Jun Jin},
title = {Learning predictive representations in autonomous driving to improve
deep reinforcement learning},
journal = {CoRR},
volume = {abs/2006.15110},
year = {2020},
url = {https://arxiv.org/abs/2006.15110},
eprinttype = {arXiv},
eprint = {2006.15110},
timestamp = {Thu, 12 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-15110.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-05929,
author = {Max Schwarzer and
Ankesh Anand and
Rishab Goel and
R. Devon Hjelm and
Aaron C. Courville and
Philip Bachman},
title = {Data-Efficient Reinforcement Learning with Momentum Predictive Representations},
journal = {CoRR},
volume = {abs/2007.05929},
year = {2020},
url = {https://arxiv.org/abs/2007.05929},
eprinttype = {arXiv},
eprint = {2007.05929},
timestamp = {Mon, 20 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-05929.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-00406,
author = {Alexander H. Liu and
Yu{-}An Chung and
James R. Glass},
title = {Non-Autoregressive Predictive Coding for Learning Speech Representations
from Local Dependencies},
journal = {CoRR},
volume = {abs/2011.00406},
year = {2020},
url = {https://arxiv.org/abs/2011.00406},
eprinttype = {arXiv},
eprint = {2011.00406},
timestamp = {Fri, 06 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-00406.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/WangGLX19,
author = {Haohan Wang and
Songwei Ge and
Zachary C. Lipton and
Eric P. Xing},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Learning Robust Global Representations by Penalizing Local Predictive
Power},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {10506--10518},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/3eefceb8087e964f89c2d59e8a249915-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/WangGLX19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-13549,
author = {Haohan Wang and
Songwei Ge and
Eric P. Xing and
Zachary C. Lipton},
title = {Learning Robust Global Representations by Penalizing Local Predictive
Power},
journal = {CoRR},
volume = {abs/1905.13549},
year = {2019},
url = {http://arxiv.org/abs/1905.13549},
eprinttype = {arXiv},
eprint = {1905.13549},
timestamp = {Mon, 03 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1905-13549.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1909-07201,
author = {Oliver Struckmeier and
Kshitij Tiwari and
Shirin Dora and
Martin J. Pearson and
Sander M. Boht{\'{e}} and
Cyriel M. A. Pennartz and
Ville Kyrki},
title = {MuPNet: Multi-modal Predictive Coding Network for Place Recognition
by Unsupervised Learning of Joint Visuo-Tactile Latent Representations},
journal = {CoRR},
volume = {abs/1909.07201},
year = {2019},
url = {http://arxiv.org/abs/1909.07201},
eprinttype = {arXiv},
eprint = {1909.07201},
timestamp = {Fri, 26 Nov 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1909-07201.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/HuangAZHL18,
author = {Chunqing Huang and
Yisheng An and
Sun Zhou and
Zhezheng Hong and
Yunlong Liu},
title = {Basis selection in spectral learning of predictive state representations},
journal = {Neurocomputing},
volume = {310},
pages = {183--189},
year = {2018},
url = {https://doi.org/10.1016/j.neucom.2018.04.079},
doi = {10.1016/J.NEUCOM.2018.04.079},
timestamp = {Mon, 08 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijon/HuangAZHL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jamia/MowerSC18,
author = {Justin Mower and
Devika Subramanian and
Trevor Cohen},
title = {Learning predictive models of drug side-effect relationships from
distributed representations of literature-derived semantic predications},
journal = {J. Am. Medical Informatics Assoc.},
volume = {25},
number = {10},
pages = {1339--1350},
year = {2018},
url = {https://doi.org/10.1093/jamia/ocy077},
doi = {10.1093/JAMIA/OCY077},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jamia/MowerSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/GrinbergALBP18,
author = {Yuri Grinberg and
Hossein Aboutalebi and
Melanie Lyman{-}Abramovitch and
Borja Balle and
Doina Precup},
editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
title = {Learning Predictive State Representations From Non-Uniform Sampling},
booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
pages = {3061--3068},
publisher = {{AAAI} Press},
year = {2018},
url = {https://doi.org/10.1609/aaai.v32i1.11744},
doi = {10.1609/AAAI.V32I1.11744},
timestamp = {Mon, 04 Sep 2023 12:29:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/GrinbergALBP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/isci/ZengMCTH17,
author = {Yifeng Zeng and
Biyang Ma and
Bilian Chen and
Jing Tang and
Mengda He},
title = {Group sparse optimization for learning predictive state representations},
journal = {Inf. Sci.},
volume = {412},
pages = {1--13},
year = {2017},
url = {https://doi.org/10.1016/j.ins.2017.05.023},
doi = {10.1016/J.INS.2017.05.023},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/isci/ZengMCTH17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ploscb/RussekMBGD17,
author = {Evan M. Russek and
Ida Momennejad and
Matthew M. Botvinick and
Samuel J. Gershman and
Nathaniel D. Daw},
title = {Predictive representations can link model-based reinforcement learning
to model-free mechanisms},
journal = {PLoS Comput. Biol.},
volume = {13},
number = {9},
year = {2017},
url = {https://doi.org/10.1371/journal.pcbi.1005768},
doi = {10.1371/JOURNAL.PCBI.1005768},
timestamp = {Thu, 04 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ploscb/RussekMBGD17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/bcb/ZhouJMC17,
author = {Chongyu Zhou and
Yao Jia and
Mehul Motani and
Jingwei Chew},
editor = {Nurit Haspel and
Lenore J. Cowen and
Amarda Shehu and
Tamer Kahveci and
Giuseppe Pozzi},
title = {Learning Deep Representations from Heterogeneous Patient Data for
Predictive Diagnosis},
booktitle = {Proceedings of the 8th {ACM} International Conference on Bioinformatics,
Computational Biology, and Health Informatics, {BCB} 2017, Boston,
MA, USA, August 20-23, 2017},
pages = {115--123},
publisher = {{ACM}},
year = {2017},
url = {https://doi.org/10.1145/3107411.3107433},
doi = {10.1145/3107411.3107433},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/bcb/ZhouJMC17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/DowneyHG17,
author = {Carlton Downey and
Ahmed Hefny and
Geoffrey J. Gordon},
title = {Practical Learning of Predictive State Representations},
journal = {CoRR},
volume = {abs/1702.04121},
year = {2017},
url = {http://arxiv.org/abs/1702.04121},
eprinttype = {arXiv},
eprint = {1702.04121},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/DowneyHG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/LangerBP16,
author = {Lucas Langer and
Borja Balle and
Doina Precup},
editor = {Subbarao Kambhampati},
title = {Learning Multi-Step Predictive State Representations},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI} 2016, New York, NY, USA, 9-15 July
2016},
pages = {1662--1668},
publisher = {{IJCAI/AAAI} Press},
year = {2016},
url = {http://www.ijcai.org/Abstract/16/238},
timestamp = {Tue, 20 Aug 2019 16:19:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcai/LangerBP16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/LiuZZD16,
author = {Yunlong Liu and
Hexing Zhu and
Yifeng Zeng and
Zongxiong Dai},
editor = {Subbarao Kambhampati},
title = {Learning Predictive State Representations via Monte-Carlo Tree Search},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI} 2016, New York, NY, USA, 9-15 July
2016},
pages = {3192--3198},
publisher = {{IJCAI/AAAI} Press},
year = {2016},
url = {http://www.ijcai.org/Abstract/16/452},
timestamp = {Tue, 20 Aug 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/ijcai/LiuZZD16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/LiuZ16c,
author = {Yunlong Liu and
Hexing Zhu},
title = {Selecting Bases in Spectral learning of Predictive State Representations
via Model Entropy},
journal = {CoRR},
volume = {abs/1612.09076},
year = {2016},
url = {http://arxiv.org/abs/1612.09076},
eprinttype = {arXiv},
eprint = {1612.09076},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/LiuZ16c.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ThonJ15,
author = {Michael R. Thon and
Herbert Jaeger},
title = {Links between multiplicity automata, observable operator models and
predictive state representations: a unified learning framework},
journal = {J. Mach. Learn. Res.},
volume = {16},
pages = {103--147},
year = {2015},
url = {https://dl.acm.org/doi/10.5555/2789272.2789276},
doi = {10.5555/2789272.2789276},
timestamp = {Thu, 02 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ThonJ15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/KuleszaJS15,
author = {Alex Kulesza and
Nan Jiang and
Satinder Singh},
editor = {Blai Bonet and
Sven Koenig},
title = {Spectral Learning of Predictive State Representations with Insufficient
Statistics},
booktitle = {Proceedings of the Twenty-Ninth {AAAI} Conference on Artificial Intelligence,
January 25-30, 2015, Austin, Texas, {USA}},
pages = {2715--2721},
publisher = {{AAAI} Press},
year = {2015},
url = {https://doi.org/10.1609/aaai.v29i1.9635},
doi = {10.1609/AAAI.V29I1.9635},
timestamp = {Mon, 18 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/KuleszaJS15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iros/StorkEK15,
author = {Johannes A. Stork and
Carl Henrik Ek and
Danica Kragic},
title = {Learning Predictive State Representations for planning},
booktitle = {2015 {IEEE/RSJ} International Conference on Intelligent Robots and
Systems, {IROS} 2015, Hamburg, Germany, September 28 - October 2,
2015},
pages = {3427--3434},
publisher = {{IEEE}},
year = {2015},
url = {https://doi.org/10.1109/IROS.2015.7353855},
doi = {10.1109/IROS.2015.7353855},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/iros/StorkEK15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlsp/GlaudeEGP15,
author = {Hadrien Glaude and
Cyrille Enderli and
Jean{-}Fran{\c{c}}ois Grandin and
Olivier Pietquin},
editor = {Deniz Erdogmus and
Murat Ak{\c{c}}akaya and
Suleyman Serdar Kozat and
Jan Larsen},
title = {Learning of scanning strategies for electronic support using predictive
state representations},
booktitle = {25th {IEEE} International Workshop on Machine Learning for Signal
Processing, {MLSP} 2015, Boston, MA, USA, September 17-20, 2015},
pages = {1--6},
publisher = {{IEEE}},
year = {2015},
url = {https://doi.org/10.1109/MLSP.2015.7324365},
doi = {10.1109/MLSP.2015.7324365},
timestamp = {Fri, 06 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/mlsp/GlaudeEGP15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@incollection{DBLP:books/sp/12/Wingate12,
author = {David Wingate},
editor = {Marco A. Wiering and
Martijn van Otterlo},
title = {Predictively Defined Representations of State},
booktitle = {Reinforcement Learning},
series = {Adaptation, Learning, and Optimization},
volume = {12},
pages = {415--439},
publisher = {Springer},
year = {2012},
url = {https://doi.org/10.1007/978-3-642-27645-3\_13},
doi = {10.1007/978-3-642-27645-3\_13},
timestamp = {Tue, 29 Dec 2020 18:14:51 +0100},
biburl = {https://dblp.org/rec/books/sp/12/Wingate12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/us/Boots18,
author = {Byron Boots},
title = {Spectral Approaches to Learning Predictive Representations},
school = {Carnegie Mellon University, {USA}},
year = {2011},
url = {https://doi.org/10.1184/r1/6723110.v1},
doi = {10.1184/R1/6723110.V1},
timestamp = {Mon, 18 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/us/Boots18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijrr/BootsSG11,
author = {Byron Boots and
Sajid M. Siddiqi and
Geoffrey J. Gordon},
title = {Closing the learning-planning loop with predictive state representations},
journal = {Int. J. Robotics Res.},
volume = {30},
number = {7},
pages = {954--966},
year = {2011},
url = {https://doi.org/10.1177/0278364911404092},
doi = {10.1177/0278364911404092},
timestamp = {Thu, 17 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijrr/BootsSG11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/atal/BootsSG10,
author = {Byron Boots and
Sajid M. Siddiqi and
Geoffrey J. Gordon},
editor = {Wiebe van der Hoek and
Gal A. Kaminka and
Yves Lesp{\'{e}}rance and
Michael Luck and
Sandip Sen},
title = {Closing the learning-planning loop with predictive state representations},
booktitle = {9th International Conference on Autonomous Agents and Multiagent Systems
{(AAMAS} 2010), Toronto, Canada, May 10-14, 2010, Volume 1-3},
pages = {1369--1370},
publisher = {{IFAAMAS}},
year = {2010},
url = {https://dl.acm.org/citation.cfm?id=1838386},
timestamp = {Fri, 30 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/atal/BootsSG10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/rss/BootsSG10,
author = {Byron Boots and
Sajid M. Siddiqi and
Geoffrey J. Gordon},
editor = {Yoky Matsuoka and
Hugh F. Durrant{-}Whyte and
Jos{\'{e}} Neira},
title = {Closing the Learning-Planning Loop with Predictive State Representations},
booktitle = {Robotics: Science and Systems VI, Universidad de Zaragoza, Zaragoza,
Spain, June 27-30, 2010},
publisher = {The {MIT} Press},
year = {2010},
url = {http://www.roboticsproceedings.org/rss06/p36.html},
doi = {10.15607/RSS.2010.VI.036},
timestamp = {Fri, 29 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/rss/BootsSG10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/kbs/Yun-LongR09,
author = {Yun{-}Long Liu and
Ren{-}Hou Li},
title = {Discovery and learning of models with predictive state representations
for dynamical systems without reset},
journal = {Knowl. Based Syst.},
volume = {22},
number = {8},
pages = {557--561},
year = {2009},
url = {https://doi.org/10.1016/j.knosys.2009.01.001},
doi = {10.1016/J.KNOSYS.2009.01.001},
timestamp = {Tue, 25 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/kbs/Yun-LongR09.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-0912-2385,
author = {Byron Boots and
Sajid M. Siddiqi and
Geoffrey J. Gordon},
title = {Closing the Learning-Planning Loop with Predictive State Representations},
journal = {CoRR},
volume = {abs/0912.2385},
year = {2009},
url = {http://arxiv.org/abs/0912.2385},
eprinttype = {arXiv},
eprint = {0912.2385},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-0912-2385.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WingateS08,
author = {David Wingate and
Satinder Singh},
editor = {William W. Cohen and
Andrew McCallum and
Sam T. Roweis},
title = {Efficiently learning linear-linear exponential family predictive representations
of state},
booktitle = {Machine Learning, Proceedings of the Twenty-Fifth International Conference
{(ICML} 2008), Helsinki, Finland, June 5-9, 2008},
series = {{ACM} International Conference Proceeding Series},
volume = {307},
pages = {1176--1183},
publisher = {{ACM}},
year = {2008},
url = {https://doi.org/10.1145/1390156.1390304},
doi = {10.1145/1390156.1390304},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WingateS08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/sab/LudvigK08,
author = {Elliot A. Ludvig and
Anna Koop},
editor = {Minoru Asada and
John C. T. Hallam and
Jean{-}Arcady Meyer and
Jun Tani},
title = {Learning to Generalize through Predictive Representations: {A} Computational
Model of Mediated Conditioning},
booktitle = {From Animals to Animats 10, 10th International Conference on Simulation
of Adaptive Behavior, {SAB} 2008, Osaka, Japan, July 7-12, 2008. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {5040},
pages = {342--351},
publisher = {Springer},
year = {2008},
url = {https://doi.org/10.1007/978-3-540-69134-1\_34},
doi = {10.1007/978-3-540-69134-1\_34},
timestamp = {Tue, 14 May 2019 10:00:53 +0200},
biburl = {https://dblp.org/rec/conf/sab/LudvigK08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/atal/WingateS07,
author = {David Wingate and
Satinder Singh},
editor = {Edmund H. Durfee and
Makoto Yokoo and
Michael N. Huhns and
Onn Shehory},
title = {On discovery and learning of models with predictive representations
of state for agents with continuous actions and observations},
booktitle = {6th International Joint Conference on Autonomous Agents and Multiagent
Systems {(AAMAS} 2007), Honolulu, Hawaii, USA, May 14-18, 2007},
pages = {187},
publisher = {{IFAAMAS}},
year = {2007},
url = {https://doi.org/10.1145/1329125.1329352},
doi = {10.1145/1329125.1329352},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/atal/WingateS07.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BowlingMJNW06,
author = {Michael H. Bowling and
Peter McCracken and
Michael James and
James Neufeld and
Dana F. Wilkinson},
editor = {William W. Cohen and
Andrew W. Moore},
title = {Learning predictive state representations using non-blind policies},
booktitle = {Machine Learning, Proceedings of the Twenty-Third International Conference
{(ICML} 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006},
series = {{ACM} International Conference Proceeding Series},
volume = {148},
pages = {129--136},
publisher = {{ACM}},
year = {2006},
url = {https://doi.org/10.1145/1143844.1143861},
doi = {10.1145/1143844.1143861},
timestamp = {Fri, 11 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/BowlingMJNW06.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Wiewiora05,
author = {Eric Wiewiora},
editor = {Luc De Raedt and
Stefan Wrobel},
title = {Learning predictive representations from a history},
booktitle = {Machine Learning, Proceedings of the Twenty-Second International Conference
{(ICML} 2005), Bonn, Germany, August 7-11, 2005},
series = {{ACM} International Conference Proceeding Series},
volume = {119},
pages = {964--971},
publisher = {{ACM}},
year = {2005},
url = {https://doi.org/10.1145/1102351.1102473},
doi = {10.1145/1102351.1102473},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/Wiewiora05.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WolfeJS05,
author = {Britton Wolfe and
Michael R. James and
Satinder Singh},
editor = {Luc De Raedt and
Stefan Wrobel},
title = {Learning predictive state representations in dynamical systems without
reset},
booktitle = {Machine Learning, Proceedings of the Twenty-Second International Conference
{(ICML} 2005), Bonn, Germany, August 7-11, 2005},
series = {{ACM} International Conference Proceeding Series},
volume = {119},
pages = {980--987},
publisher = {{ACM}},
year = {2005},
url = {https://doi.org/10.1145/1102351.1102475},
doi = {10.1145/1102351.1102475},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WolfeJS05.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/RafolsRST05,
author = {Eddie J. Rafols and
Mark B. Ring and
Richard S. Sutton and
Brian Tanner},
editor = {Leslie Pack Kaelbling and
Alessandro Saffiotti},
title = {Using Predictive Representations to Improve Generalization in Reinforcement
Learning},
booktitle = {IJCAI-05, Proceedings of the Nineteenth International Joint Conference
on Artificial Intelligence, Edinburgh, Scotland, UK, July 30 - August
5, 2005},
pages = {835--840},
publisher = {Professional Book Center},
year = {2005},
url = {http://ijcai.org/Proceedings/05/Papers/1650.pdf},
timestamp = {Tue, 20 Aug 2019 16:16:29 +0200},
biburl = {https://dblp.org/rec/conf/ijcai/RafolsRST05.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/McCrackenB05,
author = {Peter McCracken and
Michael H. Bowling},
title = {Online Discovery and Learning of Predictive State Representations},
booktitle = {Advances in Neural Information Processing Systems 18 [Neural Information
Processing Systems, {NIPS} 2005, December 5-8, 2005, Vancouver, British
Columbia, Canada]},
pages = {875--882},
year = {2005},
url = {https://proceedings.neurips.cc/paper/2005/hash/c3008b2c6f5370b744850a98a95b73ad-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/McCrackenB05.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JamesS04,
author = {Michael R. James and
Satinder Singh},
editor = {Carla E. Brodley},
title = {Learning and discovery of predictive state representations in dynamical
systems with reset},
booktitle = {Machine Learning, Proceedings of the Twenty-first International Conference
{(ICML} 2004), Banff, Alberta, Canada, July 4-8, 2004},
series = {{ACM} International Conference Proceeding Series},
volume = {69},
publisher = {{ACM}},
year = {2004},
url = {https://doi.org/10.1145/1015330.1015359},
doi = {10.1145/1015330.1015359},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JamesS04.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RosencrantzGT04,
author = {Matthew Rosencrantz and
Geoffrey J. Gordon and
Sebastian Thrun},
editor = {Carla E. Brodley},
title = {Learning low dimensional predictive representations},
booktitle = {Machine Learning, Proceedings of the Twenty-first International Conference
{(ICML} 2004), Banff, Alberta, Canada, July 4-8, 2004},
series = {{ACM} International Conference Proceeding Series},
volume = {69},
publisher = {{ACM}},
year = {2004},
url = {https://doi.org/10.1145/1015330.1015441},
doi = {10.1145/1015330.1015441},
timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/RosencrantzGT04.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SinghLJPS03,
author = {Satinder Singh and
Michael L. Littman and
Nicholas K. Jong and
David Pardoe and
Peter Stone},
editor = {Tom Fawcett and
Nina Mishra},
title = {Learning Predictive State Representations},
booktitle = {Machine Learning, Proceedings of the Twentieth International Conference
{(ICML} 2003), August 21-24, 2003, Washington, DC, {USA}},
pages = {712--719},
publisher = {{AAAI} Press},
year = {2003},
url = {http://www.aaai.org/Library/ICML/2003/icml03-093.php},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SinghLJPS03.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ijon/HerrmannPG00,
author = {J. Michael Herrmann and
Klaus Pawelzik and
Theo Geisel},
title = {Learning predictive representations},
journal = {Neurocomputing},
volume = {32-33},
pages = {785--791},
year = {2000},
url = {https://doi.org/10.1016/S0925-2312(00)00245-9},
doi = {10.1016/S0925-2312(00)00245-9},
timestamp = {Sat, 20 May 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ijon/HerrmannPG00.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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