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2102.02915
Cited By
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
4 February 2021
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
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Papers citing
"How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned"
50 / 211 papers shown
Title
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde
Gaurav Sukhatme
53
3
0
30 Sep 2022
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems
Mohamad Chehadeh
I. Boiko
Yahya Zweiri
61
1
0
30 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
Gang Chen
Victoria Huang
OffRL
66
0
0
29 Sep 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Zhiyuan Hu
Jan Peters
Georgia Chalvatzaki
52
17
0
27 Sep 2022
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George
Alison Bartsch
A. Farimani
OffRL
28
5
0
22 Sep 2022
Neural Approaches to Co-Optimization in Robotics
Charles B. Schaff
54
1
0
01 Sep 2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
C. Yuan
Yunlei Shi
Qian Feng
Chunyang Chang
Zhaopeng Chen
Alois C. Knoll
Jianwei Zhang
34
8
0
30 Aug 2022
Learning Fast and Precise Pixel-to-Torque Control
Steffen Bleher
Steve Heim
Sebastian Trimpe
32
2
0
03 Aug 2022
Learning to generate Reliable Broadcast Algorithms
Diogo Vaz
David R. Matos
M. Pardal
M. Correia
28
1
0
31 Jul 2022
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning
Pouria Sarhadi
W. Naeem
N. Athanasopoulos
70
17
0
06 Jul 2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study
Ameya Pore
M. Finocchiaro
Diego DallÁlba
A. Hernansanz
G. Ciuti
A. Arezzo
A. Menciassi
A. Casals
Paolo Fiorini
37
14
0
30 Jun 2022
Conditional Visual Servoing for Multi-Step Tasks
Sergio Izquierdo
Max Argus
Thomas Brox
42
4
0
17 May 2022
AdaptiveON: Adaptive Outdoor Local Navigation Method For Stable and Reliable Actions
Jing Liang
K. Weerakoon
Tianrui Guan
N. Karapetyan
Tianyi Zhou
31
12
0
07 May 2022
Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control
Daniel E. Ochoa
J. Poveda
30
4
0
27 Apr 2022
Learning Implicit Priors for Motion Optimization
Julen Urain
An T. Le
Alexander Lambert
Georgia Chalvatzaki
Byron Boots
Jan Peters
35
25
0
11 Apr 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
Juan Jose Garau-Luis
Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
37
0
0
08 Apr 2022
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for Non-Stationary Environment
Apan Dastider
Mingjie Lin
21
2
0
24 Mar 2022
Quad2Plane: An Intermediate Training Procedure for Online Exploration in Aerial Robotics via Receding Horizon Control
Alexander D. Quessy
T. Richardson
21
0
0
21 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR)
R. Devon Hjelm
Bogdan Mazoure
Florian Golemo
Felipe Vieira Frujeri
Mihai Jalobeanu
Andrey Kolobov
LLMAG
LRM
36
1
0
19 Mar 2022
Real-Robot Deep Reinforcement Learning: Improving Trajectory Tracking of Flexible-Joint Manipulator with Reference Correction
D. Pavlichenko
Sven Behnke
32
7
0
14 Mar 2022
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Snehal Jauhri
Jan Peters
Georgia Chalvatzaki
32
45
0
08 Mar 2022
Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang
Kamal Mokhtar
C. Heemskerk
Hamidreza Kasaei
SSL
26
10
0
04 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
62
7
0
04 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
50
9
0
23 Feb 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
69
32
0
17 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics
Thomas Kingsford
66
0
0
01 Feb 2022
Excavation Reinforcement Learning Using Geometric Representation
Qingkai Lu
Yifan Zhu
Liangjun Zhang
44
17
0
27 Jan 2022
Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning
Michael R. Behrens
Warren C. Ruder
44
32
0
14 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
45
44
0
31 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
37
1
0
10 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
Michael Luo
Ashwin Balakrishna
Brijen Thananjeyan
Suraj Nair
Julian Ibarz
Jie Tan
Chelsea Finn
Ion Stoica
Ken Goldberg
OffRL
46
4
0
07 Dec 2021
Improved Reinforcement Learning Pushing Policies via Heuristic Rules
Marios Kiatos
Iason Sarantopoulos
S. Malassiotis
Z. Doulgeri
36
0
0
22 Nov 2021
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning
Vincent Lim
Huang Huang
Lawrence Yunliang Chen
Jonathan Wang
Jeffrey Ichnowski
Daniel Seita
Michael Laskey
Ken Goldberg
SSL
62
64
0
08 Nov 2021
Robust Deep Reinforcement Learning for Quadcopter Control
Aditya M. Deshpande
A. Minai
Manish Kumar
46
18
0
06 Nov 2021
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
K. Luck
Roberto Calandra
M. Mistry
AI4CE
48
3
0
03 Nov 2021
Learning to Centralize Dual-Arm Assembly
Marvin Alles
Elie Aljalbout
22
17
0
08 Oct 2021
Learning from Demonstrations for Autonomous Soft-tissue Retraction
Ameya Pore
E. Tagliabue
Marco Piccinelli
Diego DallÁlba
A. Casals
Paolo Fiorini
36
34
0
01 Oct 2021
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization
C. Imai
Minghao Zhang
Yuchen Zhang
Marcin Kierebinski
Ruihan Yang
Yuzhe Qin
Xiaolong Wang
63
32
0
29 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
240
89
0
27 Sep 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu
Bin Li
Bo Lu
Yunhui Liu
Qi Dou
Pheng-Ann Heng
49
74
0
30 Aug 2021
Burst Imaging for Light-Constrained Structure-From-Motion
Ahalya Ravendran
M. Bryson
D. Dansereau
29
6
0
23 Aug 2021
CybORG: A Gym for the Development of Autonomous Cyber Agents
Maxwell Standen
Martin Lucas
David Bowman
Toby J. Richer
Junae Kim
Damian A. Marriott
11
76
0
20 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
37
37
0
04 Aug 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
32
31
0
21 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
43
6
0
07 Jul 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
Motoya Ohnishi
Isao Ishikawa
Kendall Lowrey
Masahiro Ikeda
Sham Kakade
Yoshinobu Kawahara
47
5
0
30 Jun 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao
Chenzhuang Du
Hang Zhao
Tiejun Li
SSL
21
4
0
26 Jun 2021
Active Learning in Robotics: A Review of Control Principles
Annalisa T. Taylor
Thomas A. Berrueta
Todd Murphey
40
71
0
25 Jun 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
45
50
0
16 Jun 2021
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi
S. MacLachlan
Luke N. Olson
Matthew West
AI4CE
16
29
0
03 Jun 2021
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