A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation

21 December 2016

Papers citing "A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation"

10 / 10 papers shown

Title
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 19 1 0 29 May 2023
Learning to Compute the Articulatory Representations of Speech with the MIRRORNET Yashish M. Siriwardena C. Espy-Wilson S. Shamma 19 7 0 29 Oct 2022
The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction Yashish M. Siriwardena Guilhem Marion S. Shamma 25 3 0 12 Oct 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning Patrick Wenzel Torsten Schön Laura Leal-Taixé Daniel Cremers 20 36 0 08 Mar 2021
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
SCALE-Sim: Systolic CNN Accelerator Simulator A. Samajdar Yuhao Zhu P. Whatmough Matthew Mattina Tushar Krishna 30 137 0 16 Oct 2018
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 11 295 0 16 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 809 0 13 Nov 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 522 0 21 Sep 2016