Composable Learning with Sparse Kernel Representations

Composable Learning with Sparse Kernel Representations

26 March 2021

Ekaterina V. Tolstaya

Alejandro Ribeiro

Papers citing "Composable Learning with Sparse Kernel Representations"

8 / 8 papers shown

Title
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems Alec Koppel Ekaterina V. Tolstaya Ethan Stump Alejandro Ribeiro 45 21 0 19 Apr 2018
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 59 287 0 29 Sep 2017
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 37 79 0 13 Dec 2016
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo I. Zamora N. G. Lopez Víctor Mayoral-Vilches A. Cordero GP 36 159 0 19 Aug 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 64 730 0 31 May 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 58 1,009 0 02 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 159 8,805 0 04 Feb 2016
When is there a representer theorem? Vector versus matrix regularizers Andreas Argyriou C. Micchelli Massimiliano Pontil 97 172 0 09 Sep 2008

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