A Tensor Network Approach to Finite Markov Decision Processes

12 February 2020

Papers citing "A Tensor Network Approach to Finite Markov Decision Processes"

12 / 12 papers shown

Title
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 45 125 0 08 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 59 363 0 03 Jul 2019
TensorNetwork for Machine Learning Stavros Efthymiou Jack Hidary Stefan Leichenauer 84 70 0 07 Jun 2019
Compressing deep neural networks by matrix product operators Ze-Feng Gao Song Cheng Rong-Qiang He Z. Xie Hui-Hai Zhao Zhong-Yi Lu Tao Xiang 63 38 0 11 Apr 2019
Generative Tensor Network Classification Model for Supervised Machine Learning Zheng-Zhi Sun C. Peng Ding Liu Shi-Ju Ran G. Su 54 48 0 26 Mar 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,418 0 13 Dec 2018
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 80 75 0 15 Jun 2018
Quantum Entanglement in Deep Learning Architectures Yoav Levine Or Sharir Nadav Cohen Amnon Shashua 77 182 0 26 Mar 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 89 138 0 31 Dec 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 93 271 0 06 Sep 2017
Learning Thermodynamics with Boltzmann Machines G. Torlai R. Melko AI4CE 29 199 0 08 Jun 2016
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 274 6,755 0 19 Feb 2015