Learning to Learn in Simulation

5 February 2019

Papers citing "Learning to Learn in Simulation"

9 / 9 papers shown

Title
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 70 285 0 08 Aug 2017
End-to-end representation learning for Correlation Filter based tracking Jack Valmadre Luca Bertinetto João F. Henriques Andrea Vedaldi Philip Torr 103 1,400 0 20 Apr 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 311 818 0 13 Nov 2016
End-to-end Learning of Action Detection from Frame Glimpses in Videos Serena Yeung Olga Russakovsky Greg Mori Li Fei-Fei EgoV 108 608 0 22 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,769 0 20 Nov 2015
Active Object Localization with Deep Reinforcement Learning Juan C. Caicedo Svetlana Lazebnik ObjD 67 445 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 175 7,665 0 22 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 114 1,685 0 23 Jul 2015
What's the Point: Semantic Segmentation with Point Supervision Amy Bearman Olga Russakovsky V. Ferrari Li Fei-Fei 3DPC 110 986 0 06 Jun 2015