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Residual Reinforcement Learning for Robot Control

Residual Reinforcement Learning for Robot Control

7 December 2018
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
    OffRL
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Papers citing "Residual Reinforcement Learning for Robot Control"

50 / 202 papers shown
Title
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot
  Challenge
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Takuma Yoneda
Charles B. Schaff
Takahiro Maeda
Matthew R. Walter
28
14
0
08 Jan 2021
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms
  using Learned Interactions
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
Guanya Shi
Wolfgang Hönig
Xichen Shi
Yisong Yue
Soon-Jo Chung
29
70
0
10 Dec 2020
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied
  Navigation Agents
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Joanne Truong
Sonia Chernova
Dhruv Batra
33
55
0
24 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with
  Base Controllers
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
Guangming Wang
Minjian Xin
Wenhua Wu
Zhe Liu
Hesheng Wang
OffRL
8
18
0
24 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh
Huihan Liu
G. Zhou
Albert Yu
Nicholas Rhinehart
Sergey Levine
OffRL
OnRL
30
138
0
19 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object
  Manipulation
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Xingyu Lin
Yufei Wang
Jake Olkin
David Held
32
210
0
14 Nov 2020
Learning Task Space Actions for Bipedal Locomotion
Learning Task Space Actions for Bipedal Locomotion
Helei Duan
Jeremy Dao
Kevin R. Green
Taylor Apgar
Alan Fern
J. Hurst
6
45
0
09 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe
Lukas Krauch
Yapeng Gao
A. Zell
9
33
0
06 Nov 2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations
  using Generative Models
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
Yuchen Wu
Melissa Mozifian
Florian Shkurti
31
21
0
02 Nov 2020
Learning Sequences of Manipulation Primitives for Robotic Assembly
Learning Sequences of Manipulation Primitives for Robotic Assembly
N. Vuong
H. Pham
Quang-Cuong Pham
6
26
0
02 Nov 2020
Learning Vision-based Reactive Policies for Obstacle Avoidance
Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout
Ji Chen
Konstantin Ritt
Maximilian Ulmer
Sami Haddadin
11
21
0
30 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with
  Binary Rewards
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger
M. Lutter
Jan Peters
22
29
0
26 Oct 2020
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich
  Tasks Using a Torque-Controlled Robot
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot
Yunlei Shi
Zhaopeng Chen
Hongxu Liu
Sebastian Riedel
Chunhui Gao
Qian Feng
Jun Deng
Jianwei Zhang
13
14
0
25 Oct 2020
Learning Dexterous Manipulation from Suboptimal Experts
Learning Dexterous Manipulation from Suboptimal Experts
Rae Jeong
Jost Tobias Springenberg
Jackie Kay
Daniel Zheng
Yuxiang Zhou
Alexandre Galashov
N. Heess
F. Nori
OffRL
18
36
0
16 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance
  Metric Learning and Behavior Regularization
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li
Rui Yang
Dijun Luo
OffRL
27
10
0
02 Oct 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning
  Systems
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Vinicius G. Goecks
22
11
0
30 Aug 2020
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep
  Reinforcement Learning Approach
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
Kensuke Harada
OffRL
32
158
0
24 Aug 2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep
  Reinforcement Learning
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Taisuke Kobayashi
OffRL
18
7
0
23 Aug 2020
Residual Learning from Demonstration: Adapting DMPs for Contact-rich
  Manipulation
Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation
Todor Davchev
K. Luck
Michael G. Burke
Franziska Meier
S. Schaal
S. Ramamoorthy
34
48
0
18 Aug 2020
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for
  Dynamics
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics
Eugene Valassakis
Zihan Ding
Edward Johns
8
43
0
15 Aug 2020
Physics-Based Dexterous Manipulations with Estimated Hand Poses and
  Residual Reinforcement Learning
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
Guillermo Garcia-Hernando
Edward Johns
Tae-Kyun Kim
3DH
6
68
0
07 Aug 2020
Supervised Learning and Reinforcement Learning of Feedback Models for
  Reactive Behaviors: Tactile Feedback Testbed
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
Giovanni Sutanto
Katharina Rombach
Yevgen Chebotar
Zhe Su
S. Schaal
Gaurav Sukhatme
Franziska Meier
8
5
0
29 Jun 2020
Combining Model-Based and Model-Free Methods for Nonlinear Control: A
  Provably Convergent Policy Gradient Approach
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach
Guannan Qu
Chenkai Yu
S. Low
Adam Wierman
6
19
0
12 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and
  Model-Based Strategies for Sample-Efficient Policy Learning
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
Michelle A. Lee
Carlos Florensa
Jonathan Tremblay
Nathan D. Ratliff
Animesh Garg
Fabio Ramos
Dieter Fox
15
60
0
21 May 2020
Learning natural locomotion behaviors for humanoid robots using human knowledge
Chuanyu Yang
Kai Yuan
Shuai Heng
Taku Komura
Zhibin Li
9
38
0
20 May 2020
Human Instruction-Following with Deep Reinforcement Learning via
  Transfer-Learning from Text
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
Felix Hill
Soňa Mokrá
Nathaniel Wong
Tim Harley
LM&Ro
24
81
0
19 May 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler
Ashvin Nair
J. A. Ojea
Sergey Levine
Eugen Solowjow
OffRL
OnRL
20
88
0
29 Apr 2020
Industrial Robot Grasping with Deep Learning using a Programmable Logic
  Controller (PLC)
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC)
Eugen Solowjow
I. Ugalde
Yash Shahapurkar
Juan Aparicio
Jeffrey Mahler
V. Satish
Ken Goldberg
Heiko Claussen
27
21
0
21 Apr 2020
Residual Policy Learning for Shared Autonomy
Residual Policy Learning for Shared Autonomy
Charles B. Schaff
Matthew R. Walter
9
39
0
10 Apr 2020
Modelling and Learning Dynamics for Robotic Food-Cutting
Modelling and Learning Dynamics for Robotic Food-Cutting
Ioanna Mitsioni
Y. Karayiannidis
Danica Kragic
9
8
0
20 Mar 2020
Compensation for undefined behaviors during robot task execution by
  switching controllers depending on embedded dynamics in RNN
Compensation for undefined behaviors during robot task execution by switching controllers depending on embedded dynamics in RNN
Kanata Suzuki
Hiroki Mori
T. Ogata
19
11
0
10 Mar 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using
  Learned Interactions
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
Guanya Shi
Wolfgang Hönig
Yisong Yue
Soon-Jo Chung
58
65
0
06 Mar 2020
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through
  Reinforcement Learning
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning
Tamir Blum
Kazuya Yoshida
12
7
0
02 Mar 2020
Learning Force Control for Contact-rich Manipulation Tasks with Rigid
  Position-controlled Robots
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
T. Nishi
S. Kikuchi
Takamitsu Matsubara
Kensuke Harada
17
2
0
02 Mar 2020
BRPO: Batch Residual Policy Optimization
BRPO: Batch Residual Policy Optimization
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
139
46
0
08 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement
  Learning with Clairvoyant Experts
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
Gilwoo Lee
Brian Hou
Sanjiban Choudhury
S. Srinivasa
BDL
OffRL
31
7
0
07 Feb 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side
  Networks
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas J. Guibas
Jitendra Malik
28
28
0
31 Dec 2019
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered
  Grasping Policies
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Visak C. V. Kumar
Tucker Hermans
Dieter Fox
Stan Birchfield
Jonathan Tremblay
21
14
0
21 Nov 2019
Learning Hierarchical Control for Robust In-Hand Manipulation
Learning Hierarchical Control for Robust In-Hand Manipulation
Tingguang Li
K. Srinivasan
Max Q.-H. Meng
Wenzhen Yuan
Jeannette Bohg
13
41
0
24 Oct 2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement
  Learning between Diverse Environmental Dynamics
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
M. Barekatain
Ryo Yonetani
Masashi Hamaya
32
26
0
28 Sep 2019
Residual Reactive Navigation: Combining Classical and Learned Navigation
  Strategies For Deployment in Unknown Environments
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
Krishan Rana
Ben Talbot
Vibhavari Dasagi
Michael Milford
Niko Sünderhauf
17
21
0
24 Sep 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an
  Ensemble of Suboptimal Teachers
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Andrey Kurenkov
Ajay Mandlekar
R. M. Martin
Silvio Savarese
Animesh Garg
6
48
0
09 Sep 2019
A Comparison of Action Spaces for Learning Manipulation Tasks
A Comparison of Action Spaces for Learning Manipulation Tasks
Patrick Varin
Lev Grossman
S. Kuindersma
20
34
0
23 Aug 2019
TuneNet: One-Shot Residual Tuning for System Identification and
  Sim-to-Real Robot Task Transfer
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer
Adam Allevato
Elaine Schaertl Short
Mitch Pryor
A. Thomaz
35
53
0
25 Jul 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual
  Inputs and Natural Rewards
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
18
191
0
13 Jun 2019
Differentiable Algorithm Networks for Composable Robot Learning
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus
Xiao Ma
David Hsu
L. Kaelbling
Wee Sun Lee
Tomas Lozano-Perez
14
70
0
28 May 2019
Control Regularization for Reduced Variance Reinforcement Learning
Control Regularization for Reduced Variance Reinforcement Learning
Richard Cheng
Abhinav Verma
G. Orosz
Swarat Chaudhuri
Yisong Yue
J. W. Burdick
OffRL
12
76
0
14 May 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
Andy Zeng
Shuran Song
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
37
375
0
27 Mar 2019
Reinforcement Learning on Variable Impedance Controller for
  High-Precision Robotic Assembly
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo
Eugen Solowjow
Chengtao Wen
J. A. Ojea
A. Agogino
Aviv Tamar
Pieter Abbeel
16
169
0
04 Mar 2019
Sample Complexity of Estimating the Policy Gradient for Nearly
  Deterministic Dynamical Systems
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems
Osbert Bastani
14
4
0
24 Jan 2019
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