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Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review

Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review

8 February 2021
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review"

5 / 5 papers shown
Title
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation
Jiaming Zhou
Teli Ma
Kun-Yu Lin
Ronghe Qiu
Zifan Wang
Junwei Liang
36
3
0
20 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Zhehua Zhou
Xuan Xie
Jiayang Song
Zhan Shu
Lei Ma
18
1
0
06 Jun 2024
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
75
1,086
0
30 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
1