![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Search dblp for Publications
export results for "Learning predictive representations."
@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} }
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.