The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation

24 February 2018

Papers citing "The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation"

7 / 7 papers shown

Title
MO2: Model-Based Offline Options Sasha Salter Markus Wulfmeier Dhruva Tirumala N. Heess Martin Riedmiller R. Hadsell Dushyant Rao OffRL 32 13 0 05 Sep 2022
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 135 1,318 0 15 Apr 2020
$360^o$ Surface Regression with a Hyper-Sphere Loss Antonis Karakottas N. Zioulis Stamatis Samaras Dimitrios Ataloglou V. Gkitsas D. Zarpalas P. Daras 3DH 28 8 0 16 Sep 2019
The StreetLearn Environment and Dataset Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson Denis Teplyashin Karl Moritz Hermann ... Matthew Koichi Grimes Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell 3DV 26 64 0 04 Mar 2019
Learning To Follow Directions in Street View Karl Moritz Hermann Mateusz Malinowski Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson R. Hadsell SSL 32 66 0 01 Mar 2019
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 39 316 0 31 Mar 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 876 0 03 Feb 2017