Comparing Task Simplifications to Learn Closed-Loop Object Picking Using
Deep Reinforcement Learning

Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

13 March 2018

Roland Siegwart

Papers citing "Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning"

7 / 7 papers shown

Title
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses Hao Zhang Hongzhuo Liang Lin Cong Jianzhi Lyu Long Zeng Pingfa Feng Jian-Wei Zhang SSL DRL 31 9 0 26 Feb 2023
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin Walters Robert W. Platt 30 78 0 08 Mar 2022
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Object Finding in Cluttered Scenes Using Interactive Perception Tonci Novkovic Remi Pautrat Fadri Furrer Michel Breyer Roland Siegwart Juan I. Nieto 27 66 0 18 Nov 2019
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
qiBullet, a Bullet-based simulator for the Pepper and NAO robots Maxime Busy Maxime Caniot 18 10 0 02 Sep 2019
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017