Hilbert Space Embeddings of Predictive State Representations

26 September 2013

Papers citing "Hilbert Space Embeddings of Predictive State Representations"

12 / 12 papers shown

Title
PAC Reinforcement Learning for Predictive State Representations Wenhao Zhan Masatoshi Uehara Wen Sun Jason D. Lee 31 38 0 12 Jul 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun 58 6 0 24 Jun 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 49 31 0 24 Jun 2022
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance S. Loomis James P. Crutchfield 35 2 0 09 Jun 2022
Topology, Convergence, and Reconstruction of Predictive States S. Loomis James P. Crutchfield AI4CE 19 7 0 19 Sep 2021
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 27 49 0 25 Jun 2019
Kernel Instrumental Variable Regression Rahul Singh M. Sahani A. Gretton 17 168 0 01 Jun 2019
Learning and Inference in Hilbert Space with Quantum Graphical Models Siddarth Srinivasan Carlton Downey Byron Boots 28 23 0 29 Oct 2018
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris M. Kitani J. Andrew Bagnell AI4CE 18 42 0 25 Sep 2017
Predictable Feature Analysis Stefan Richthofer Laurenz Wiskott 38 29 0 11 Nov 2013
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson A. Gretton Massimiliano Pontil 85 143 0 21 May 2012