Hybrid Learning- and Model-Based Planning and Control of In-Hand Manipulation

20 September 2022

Papers citing "Hybrid Learning- and Model-Based Planning and Control of In-Hand Manipulation"

9 / 9 papers shown

Title
Learning Hierarchical Control for Robust In-Hand Manipulation Tingguang Li K. Srinivasan Max Meng Wenzhen Yuan Jeannette Bohg 48 41 0 24 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 210 410 0 25 Sep 2019
Understanding the impact of entropy on policy optimization Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi Dale Schuurmans 57 230 0 27 Nov 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 70 1,865 0 01 Aug 2018
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 98 1,079 0 28 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 208 18,685 0 20 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 169 2,948 0 20 Mar 2017
Data-Driven Grasp Synthesis - A Survey Jeannette Bohg A. Morales Tamim Asfour Danica Kragic 49 1,028 0 10 Sep 2013
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 72 4,660 0 05 May 2011