Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.04148
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review"
19 / 19 papers shown
Title
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
52
4
0
20 Jun 2024
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
47
1
0
06 Jun 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning
Xinrui Wang
Yan Jin
34
1
0
25 Mar 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
Mehdi Heydari Shahna
Seyed Adel Alizadeh Kolagar
J. Mattila
21
4
0
04 Feb 2024
General-purpose foundation models for increased autonomy in robot-assisted surgery
Samuel Schmidgall
Ji Woong Kim
Alan Kuntz
A. Ghazi
Axel Krieger
MedIm
46
9
0
01 Jan 2024
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
Emmanuel Klu
Sameer Sethi
DJ Passey
Donald Martin
AI4CE
SyDa
31
0
0
19 Oct 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm
Felix Trost
Matthias Althoff
OffRL
33
6
0
09 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
Learning adaptive manipulation of objects with revolute joint: A case study on varied cabinet doors opening
Hongxiang Yu
Dashun Guo
Zhongxiang Zhou
Yue Wang
R. Xiong
33
0
0
28 Apr 2023
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
27
2
0
15 Nov 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
32
0
0
05 Oct 2022
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning
R. G. Oliveira
W. Caarls
OffRL
16
0
0
29 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
Gang Chen
Victoria Huang
OffRL
34
0
0
29 Sep 2022
From Biological Synapses to Intelligent Robots
Birgitta Dresp-Langley
16
5
0
25 Feb 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
Vincent Mai
Kaustubh Mani
Liam Paull
36
34
0
05 Jan 2022
Solving the Real Robot Challenge using Deep Reinforcement Learning
Robert McCarthy
Francisco Roldan Sanchez
Qiang Wang
David Córdova Bulens
Kevin McGuinness
Noel E. O'Connor
S. Redmond
27
11
0
30 Sep 2021
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,234
0
30 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
1