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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
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies
Isidoros Marougkas
Dhruv Metha Ramesh
Joe H. Doerr
Edgar Granados
Aravind Sivaramakrishnan
Abdeslam Boularias
Kostas E. Bekris
OffRL
2
0
0
17 May 2025
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
34
0
0
12 May 2025
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance
Wenjun Cao
52
0
0
26 Apr 2025
A highly maneuverable flying squirrel drone with controllable foldable wings
A highly maneuverable flying squirrel drone with controllable foldable wings
Jun-Gill Kang
D. Lee
Soohee Han
30
1
0
13 Apr 2025
ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
Kailin Li
Puhao Li
Tengyu Liu
Yuyang Li
Siyuan Huang
48
3
0
27 Mar 2025
Dexterous Hand Manipulation via Efficient Imitation-Bootstrapped Online Reinforcement Learning
Dongchi Huang
Tianle Zhang
Yihang Li
Ling Zhao
Jiayi Li
Zhirui Fang
Chunhe Xia
Lusong Li
Xiaodong He
OffRL
43
0
0
06 Mar 2025
Target Defense with Multiple Defenders and an Agile Attacker via Residual Policy Learning
Target Defense with Multiple Defenders and an Agile Attacker via Residual Policy Learning
Jiyue Tao
Tongsheng Shen
Dexin Zhao
Feitian Zhang
AAML
63
0
0
25 Feb 2025
COMPASS: Cross-embodiment Mobility Policy via Residual RL and Skill Synthesis
Wei Liu
Huihua Zhao
Chenran Li
Joydeep Biswas
Soha Pouya
Yan Chang
80
0
0
22 Feb 2025
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
James R. Han
Hugues Thomas
Jian Zhang
Nicholas Rhinehart
T. Barfoot
66
1
0
17 Feb 2025
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
Yuhui Chen
Shuai Tian
Shugao Liu
Yingting Zhou
Haoran Li
Dongbin Zhao
OffRL
106
1
0
08 Feb 2025
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Tairan He
J. Gao
Wenli Xiao
Yuyao Zhang
Zi Wang
...
Jessica Hodgins
Linxi Fan
Yuke Zhu
Changliu Liu
Guanya Shi
84
11
0
03 Feb 2025
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
Vincenzo Petrone
Enrico Ferrentino
Pasquale Chiacchio
39
0
0
10 Jan 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy
  Model
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
Xiu Yuan
Tongzhou Mu
Stone Tao
Yunhao Fang
Mengke Zhang
H. Su
OffRL
68
3
0
18 Dec 2024
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
Charles Xu
Qiyang Li
Jianlan Luo
Sergey Levine
OffRL
85
5
0
13 Dec 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
104
2
0
01 Nov 2024
Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode
Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode
Philipp Gassert
Matthias Althoff
41
0
0
30 Oct 2024
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for
  Long-Horizon Manipulation
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
Zihan Zhou
Animesh Garg
Dieter Fox
Caelan Reed Garrett
Ajay Mandlekar
42
2
0
23 Oct 2024
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement
  Learning With Data Filter
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
Yansong Li
Zeyu Dong
Ertai Luo
Yu Wu
Shuo Wu
Shuo Han
27
2
0
16 Oct 2024
Multilingual Topic Classification in X: Dataset and Analysis
Multilingual Topic Classification in X: Dataset and Analysis
Dimosthenis Antypas
Asahi Ushio
Francesco Barbieri
Jose Camacho-Collados
32
1
0
04 Oct 2024
Efficient Residual Learning with Mixture-of-Experts for Universal
  Dexterous Grasping
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
Ziye Huang
Haoqi Yuan
Yuhui Fu
Zongqing Lu
37
3
0
03 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with
  LLM-Guided Knowledge
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
Xiefeng Wu
OffRL
34
1
0
02 Oct 2024
Stable Object Placement Under Geometric Uncertainty via Differentiable
  Contact Dynamics
Stable Object Placement Under Geometric Uncertainty via Differentiable Contact Dynamics
Linfeng Li
Gang Yang
Lin Shao
David Hsu
36
0
0
26 Sep 2024
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Ruiqi Zhang
Dingqi Zhang
Mark W. Mueller
111
1
0
20 Sep 2024
Simplex-enabled Safe Continual Learning Machine
Simplex-enabled Safe Continual Learning Machine
H. Cao
Y. Mao
Yihao Cai
L. Sha
Marco Caccamo
36
3
0
05 Sep 2024
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Zihao Sheng
Zilin Huang
Sikai Chen
36
8
0
30 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
33
17
0
06 Aug 2024
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet
  Demonstrations
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
Cheng Qian
Julen Urain
Kevin Zakka
Jan Peters
27
4
0
25 Jul 2024
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
Lars Ankile
Anthony Simeonov
Idan Shenfeld
M. Torné
Pulkit Agrawal
OffRL
36
7
0
23 Jul 2024
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style
  Reinforcement Learning
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning
Zakariae El Asri
Olivier Sigaud
Nicolas Thome
45
0
0
02 Jul 2024
Cooperative Advisory Residual Policies for Congestion Mitigation
Cooperative Advisory Residual Policies for Congestion Mitigation
Aamir Hasan
Neeloy Chakraborty
Haonan Chen
Jung-Hoon Cho
Cathy Wu
Katherine Driggs-Campbell
32
1
0
30 Jun 2024
3D Operation of Autonomous Excavator based on Reinforcement Learning
  through Independent Reward for Individual Joints
3D Operation of Autonomous Excavator based on Reinforcement Learning through Independent Reward for Individual Joints
Yoonkyu Yoo
Donghwi Jung
Seong-Woo Kim
29
0
0
28 Jun 2024
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control
  Priors
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
Emma Cramer
Bernd Frauenknecht
Ramil Sabirov
Sebastian Trimpe
OffRL
OnRL
52
3
0
28 Jun 2024
Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap
  in COBRA
Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA
Adarsh Salagame
Harin Kumar Nallaguntla
Eric N. Sihite
G. Schirner
Alireza Ramezani
23
2
0
19 Jun 2024
Reinforcement Learning to improve delta robot throws for sorting scrap
  metal
Reinforcement Learning to improve delta robot throws for sorting scrap metal
Arthur Louette
Gaspard Lambrechts
Damien Ernst
Eric Pirard
G. Dislaire
19
0
0
19 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
Grounding Multimodal Large Language Models in Actions
Grounding Multimodal Large Language Models in Actions
Andrew Szot
Bogdan Mazoure
Harsh Agrawal
Devon Hjelm
Z. Kira
Alexander Toshev
LM&Ro
35
10
0
12 Jun 2024
Learning-based legged locomotion; state of the art and future
  perspectives
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
M. van de Panne
Zhaoming Xie
Wenhao Yu
Majid Khadiv
47
16
0
03 Jun 2024
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Yunfan Jiang
Chen Wang
Ruohan Zhang
Jiajun Wu
Fei-Fei Li
OnRL
37
26
0
16 May 2024
Development of Skip Connection in Deep Neural Networks for Computer
  Vision and Medical Image Analysis: A Survey
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
Guoping Xu
Xiaxia Wang
Xinglong Wu
Xuesong Leng
Yongchao Xu
3DPC
39
8
0
02 May 2024
Spatio-Temporal Motion Retargeting for Quadruped Robots
Spatio-Temporal Motion Retargeting for Quadruped Robots
Taerim Yoon
Dongho Kang
Seungmin Kim
Minsung Ahn
Stelian Coros
Sungjoon Choi
37
3
0
17 Apr 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A
  Representation-Based Viewpoint
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint
Haitong Ma
Zhaolin Ren
Bo Dai
Na Li
37
1
0
07 Apr 2024
ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
Runyu Ma
Jelle Luijkx
Zlatan Ajanović
Jens Kober
LM&Ro
LRM
40
7
0
14 Mar 2024
Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
Chengxing Jia
Fuxiang Zhang
Yi-Chen Li
Chenxiao Gao
Xu-Hui Liu
Lei Yuan
Zongzhang Zhang
Yang Yu
AAML
39
4
0
12 Mar 2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana
Sirui Li
Cathy Wu
Y. Farid
Kentaro Oguchi
28
3
0
07 Mar 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource
  Allocation
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation
Di Zhang
Moyang Wang
Joseph D Mango
Xiang Li
Xianrui Xu
45
1
0
06 Mar 2024
SELFI: Autonomous Self-Improvement with Reinforcement Learning for
  Social Navigation
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation
Noriaki Hirose
Dhruv Shah
Kyle Stachowicz
A. Sridhar
Sergey Levine
69
5
0
01 Mar 2024
Don't Start from Scratch: Behavioral Refinement via Interpolant-based
  Policy Diffusion
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen
Eugene Lim
Kelvin Lin
Yiyang Chen
Harold Soh
DiffM
27
10
0
25 Feb 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human
  Racing Gameplay
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
Catherine Weaver
Chen Tang
Ce Hao
Kenta Kawamoto
Masayoshi Tomizuka
Wei Zhan
OffRL
32
0
0
22 Feb 2024
Improving a Proportional Integral Controller with Reinforcement Learning
  on a Throttle Valve Benchmark
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark
Paul Daoudi
B. Mavkov
Bogdan Robu
Christophe Prieur
Emmanuel Witrant
M. Barlier
Ludovic Dos Santos
28
2
0
21 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
34
41
0
29 Jan 2024
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