The Utility of Sparse Representations for Control in Reinforcement Learning

15 November 2018

Papers citing "The Utility of Sparse Representations for Control in Reinforcement Learning"

11 / 11 papers shown

Title
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 77 0 0 04 Feb 2023
Learning Sparse Representations in Reinforcement Learning with Sparse Coding Lei Le Raksha Kumaraswamy Martha White OffRL SSL 42 25 0 26 Jul 2017
Unifying task specification in reinforcement learning Martha White OffRL 36 88 0 07 Sep 2016
Why Regularized Auto-Encoders learn Sparse Representation? Devansh Arpit Yingbo Zhou H. Ngo V. Govindaraju 55 68 0 21 May 2015
Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory Subutai Ahmad J. Hawkins 29 160 0 25 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 156 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 736 149,474 0 22 Dec 2014
k-Sparse Autoencoders Alireza Makhzani Brendan J. Frey 69 446 0 19 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 160 12,384 0 24 Jun 2012
Online Learning for Matrix Factorization and Sparse Coding Julien Mairal Francis R. Bach Jean Ponce Guillermo Sapiro 122 2,614 0 01 Aug 2009
Supervised Dictionary Learning Julien Mairal Francis R. Bach Jean Ponce Guillermo Sapiro Andrew Zisserman 56 1,185 0 18 Sep 2008