Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation

17 July 2018

Papers citing "Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation"

8 / 8 papers shown

Title
Learning to Search with MCTSnets A. Guez T. Weber Ioannis Antonoglou Karen Simonyan Oriol Vinyals Daan Wierstra Rémi Munos David Silver 63 88 0 13 Feb 2018
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 150 958 0 01 Mar 2017
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 91 880 0 11 Nov 2016
DESPOT: Online POMDP Planning with Regularization N. Ye A. Somani David Hsu Wee Sun Lee 80 508 0 12 Sep 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 73 653 0 09 Feb 2016
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 104 1,677 0 23 Jul 2015
Perseus: Randomized Point-based Value Iteration for POMDPs M. Spaan N. Vlassis 102 767 0 09 Sep 2011
Infinite-Horizon Policy-Gradient Estimation Jonathan Baxter Peter L. Bartlett 88 811 0 03 Jun 2011