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End-to-End Training of Deep Visuomotor Policies

End-to-End Training of Deep Visuomotor Policies

2 April 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
    BDL
ArXivPDFHTML

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 922 papers shown
Title
Bootstrapping Reinforcement Learning with Imitation for Vision-Based
  Agile Flight
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight
Jiaxu Xing
Angel Romero
L. Bauersfeld
Davide Scaramuzza
53
14
0
18 Mar 2024
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die
  Castings
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings
Yuqing Du
Yu Song
Ce Guo
Xiaojing Tian
Dong Liu
Ming Cong
3DPC
36
0
0
15 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
AI4CE
35
11
0
14 Mar 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
58
0
0
13 Mar 2024
CoPa: General Robotic Manipulation through Spatial Constraints of Parts
  with Foundation Models
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang
Fanqi Lin
Yingdong Hu
Shengjie Wang
Yang Gao
43
53
0
13 Mar 2024
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Jiange Yang
Bei Liu
Jianlong Fu
Bocheng Pan
Gangshan Wu
Limin Wang
53
10
0
08 Mar 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State
  Perturbations
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun
Zizhan Zheng
OnRL
40
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
77
5
0
01 Mar 2024
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative
  Behaviors and Adversarial Style Sampling for Assistive Tasks
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks
Takayuki Osa
Tatsuya Harada
50
2
0
01 Mar 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via
  Non-dominated Policies
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu
Chenghao Deng
Yanchao Sun
Yongyuan Liang
Furong Huang
AAML
40
5
0
20 Feb 2024
Policy Learning for Off-Dynamics RL with Deficient Support
Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le Pham Van
Hung The Tran
Sunil R. Gupta
48
1
0
16 Feb 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal
  Morphology Control
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong
Risto Vuorio
Jacob Beck
Matthieu Zimmer
Kun Shao
Shimon Whiteson
44
1
0
09 Feb 2024
Sample Complexity Characterization for Linear Contextual MDPs
Sample Complexity Characterization for Linear Contextual MDPs
Junze Deng
Yuan Cheng
Shaofeng Zou
Yingbin Liang
35
1
0
05 Feb 2024
Point Cloud Matters: Rethinking the Impact of Different Observation
  Spaces on Robot Learning
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Haoyi Zhu
Yating Wang
Di Huang
Weicai Ye
Wanli Ouyang
Tong He
SSL
3DPC
59
20
0
04 Feb 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
A Survey of Constraint Formulations in Safe Reinforcement Learning
Akifumi Wachi
Xun Shen
Yanan Sui
43
11
0
03 Feb 2024
Neural Style Transfer with Twin-Delayed DDPG for Shared Control of
  Robotic Manipulators
Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators
R. Fernandez-Fernandez
Marco Aggravi
P. Giordano
J. Victores
C. Pacchierotti
38
4
0
01 Feb 2024
Transferring human emotions to robot motions using Neural Policy Style
  Transfer
Transferring human emotions to robot motions using Neural Policy Style Transfer
R. Fernandez-Fernandez
Bartek Łukawski
J. Victores
C. Pacchierotti
29
22
0
01 Feb 2024
Adaptive Primal-Dual Method for Safe Reinforcement Learning
Adaptive Primal-Dual Method for Safe Reinforcement Learning
Weiqin Chen
James Onyejizu
Long Vu
Lan Hoang
D. Subramanian
Koushik Kar
Sandipan Mishra
Santiago Paternain
24
1
0
01 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
39
41
0
29 Jan 2024
MResT: Multi-Resolution Sensing for Real-Time Control with
  Vision-Language Models
MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena
Mohit Sharma
Oliver Kroemer
44
4
0
25 Jan 2024
Adaptive Mobile Manipulation for Articulated Objects In the Open World
Adaptive Mobile Manipulation for Articulated Objects In the Open World
Haoyu Xiong
Russell Mendonca
Kenneth Shaw
Deepak Pathak
41
40
0
25 Jan 2024
Machine learning for industrial sensing and control: A survey and
  practical perspective
Machine learning for industrial sensing and control: A survey and practical perspective
Nathan P. Lawrence
S. Damarla
Jong Woo Kim
Aditya Tulsyan
Faraz Amjad
Kai Wang
Benoît Chachuat
Jong Min Lee
Biao Huang
R. Bhushan Gopaluni
AI4CE
40
21
0
24 Jan 2024
TraKDis: A Transformer-based Knowledge Distillation Approach for Visual
  Reinforcement Learning with Application to Cloth Manipulation
TraKDis: A Transformer-based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen
Nicolás Rojas
53
7
0
24 Jan 2024
End-to-end Multi-Instance Robotic Reaching from Monocular Vision
End-to-end Multi-Instance Robotic Reaching from Monocular Vision
Zheyu Zhuang
Xin Yu
Robert E. Mahony
41
1
0
22 Jan 2024
Learning from Sparse Offline Datasets via Conservative Density
  Estimation
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen
Zuxin Liu
Zitong Wang
Yi-Fan Yao
Henry Lam
Ding Zhao
OffRL
28
7
0
16 Jan 2024
FMB: a Functional Manipulation Benchmark for Generalizable Robotic
  Learning
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning
Jianlan Luo
Charles Xu
Fangchen Liu
Liam Tan
Zipeng Lin
Jeffrey Wu
Pieter Abbeel
Sergey Levine
42
27
0
16 Jan 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement
  Learning
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
Zhaohui Jiang
Paul Weng
OffRL
27
0
0
10 Jan 2024
Deep Reinforcement Learning for Local Path Following of an Autonomous
  Formula SAE Vehicle
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Harvey Merton
Thomas Delamore
Karl Stol
Henry Williams
38
0
0
05 Jan 2024
Learning Multi-Step Manipulation Tasks from A Single Human Demonstration
Learning Multi-Step Manipulation Tasks from A Single Human Demonstration
Dingkun Guo
43
6
0
23 Dec 2023
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement
  Learning with Dynamic Depth Routing
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He
Kai Li
Yifan Zang
Haobo Fu
Qiang Fu
Junliang Xing
Jian Cheng
MoE
41
5
0
22 Dec 2023
Mastering Stacking of Diverse Shapes with Large-Scale Iterative
  Reinforcement Learning on Real Robots
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe
A. Abdolmaleki
Sarah Bechtle
Sandy H. Huang
Jost Tobias Springenberg
...
Markus Wulfmeier
Jingwei Zhang
Francesco Nori
N. Heess
Martin Riedmiller
OffRL
40
9
0
18 Dec 2023
Less is more -- the Dispatcher/ Executor principle for multi-task
  Reinforcement Learning
Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning
Martin Riedmiller
Tim Hertweck
Roland Hafner
OffRL
26
1
0
14 Dec 2023
ReCoRe: Regularized Contrastive Representation Learning of World Model
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P. K. Poudel
Harit Pandya
Stephan Liwicki
Roberto Cipolla
DRL
OffRL
33
6
0
14 Dec 2023
Toward General-Purpose Robots via Foundation Models: A Survey and
  Meta-Analysis
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu
Quanting Xie
Vidhi Jain
Jonathan M Francis
Jay Patrikar
...
Xiaolong Wang
Sebastian A. Scherer
Z. Kira
Fei Xia
Yonatan Bisk
LM&Ro
AI4CE
50
65
0
14 Dec 2023
FOSS: A Self-Learned Doctor for Query Optimizer
FOSS: A Self-Learned Doctor for Query Optimizer
Kai Zhong
Luming Sun
Tao Ji
Cuiping Li
Hong Chen
26
0
0
11 Dec 2023
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
19
0
0
08 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent
Pearl: A Production-ready Reinforcement Learning Agent
Zheqing Zhu
Rodrigo de Salvo Braz
Jalaj Bhandari
Daniel Jiang
Yi Wan
...
D. Korenkevych
Ürün Dogan
Frank Cheng
Zheng Wu
Wanqiao Xu
VLM
OffRL
OnRL
44
6
0
06 Dec 2023
Working Backwards: Learning to Place by Picking
Working Backwards: Learning to Place by Picking
Oliver Limoyo
Abhisek Konar
Trevor Ablett
Jonathan Kelly
F. Hogan
Gregory Dudek
33
0
0
04 Dec 2023
Tracking Object Positions in Reinforcement Learning: A Metric for
  Keypoint Detection (extended version)
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
Emma Cramer
Jonas Reiher
Sebastian Trimpe
19
0
0
01 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
35
2
0
26 Nov 2023
Efficient Open-world Reinforcement Learning via Knowledge Distillation
  and Autonomous Rule Discovery
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery
Ekaterina Nikonova
Cheng Xue
Jochen Renz
CLL
28
1
0
24 Nov 2023
Risk-sensitive Markov Decision Process and Learning under General
  Utility Functions
Risk-sensitive Markov Decision Process and Learning under General Utility Functions
Zhengqi Wu
Renyuan Xu
40
3
0
22 Nov 2023
RLIF: Interactive Imitation Learning as Reinforcement Learning
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo
Perry Dong
Yuexiang Zhai
Yi Ma
Sergey Levine
OffRL
38
14
0
21 Nov 2023
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
50
4
0
20 Nov 2023
Self-Supervised Curriculum Generation for Autonomous Reinforcement
  Learning without Task-Specific Knowledge
Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee
Seung-Woo Seo
ODL
CLL
SSL
29
2
0
15 Nov 2023
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
David Meger
Gregory Dudek
Gregory Dudek
46
1
0
15 Nov 2023
Learning to Control under Uncertainty with Data-Based Iterative Linear
  Quadratic Regulator
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator
Ran A. Wang
Raman Goyal
S. Chakravorty
21
1
0
08 Nov 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead
  Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki
Chenyang Wang
Johannes Betz
34
2
0
07 Nov 2023
On Hand-Held Grippers and the Morphological Gap in Human Manipulation
  Demonstration
On Hand-Held Grippers and the Morphological Gap in Human Manipulation Demonstration
Kiran Doshi
Yijiang Huang
Stelian Coros
27
6
0
03 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic
  Expression
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
Jiaming Guo
Rui Zhang
Shaohui Peng
Qi Yi
Xingui Hu
...
Zidong Du
Xishan Zhang
Ling Li
Qi Guo
Yunji Chen
OffRL
30
5
0
02 Nov 2023
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