Machine Learning Meets Advanced Robotic Manipulation

Machine Learning Meets Advanced Robotic Manipulation

22 September 2023

Saeid Nahavandi

R. Alizadehsani

Papers citing "Machine Learning Meets Advanced Robotic Manipulation"

10 / 10 papers shown

Title
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning Seungjae Lee Jigang Kim Inkyu Jang H. J. Kim OffRL 16 10 0 11 Oct 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum Lingfeng Tao Jiucai Zhang Xiaoli Zhang 30 5 0 26 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 111 231 0 20 May 2022
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors M. Roshanzamir R. Alizadehsani Mahdi Roshanzamir A. Shoeibi Juan M Gorriz Abbas Khosravi S. Nahavandi CVBM 13 10 0 12 Sep 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 40 141 0 08 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu W. Xu BDL 120 81 0 16 Jan 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 404 0 25 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 216 808 0 13 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 26 39 0 21 Oct 2016