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SkiffOS: Minimal Cross-compiled Linux for Embedded Containers

SkiffOS: Minimal Cross-compiled Linux for Embedded Containers

31 March 2021
Christian Stewart
ArXiv (abs)PDFHTML

Papers citing "SkiffOS: Minimal Cross-compiled Linux for Embedded Containers"

36 / 36 papers shown
Title
Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance
Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance
Wenhao Wang
Jianheng Song
Chiming Liu
Jiayao Ma
Siyuan Feng
...
Modi Shi
Xindong He
Guanghui Ren
Yang Yang
Maoqing Yao
OffRL
46
0
0
24 May 2025
Efficient Active Imitation Learning with Random Network Distillation
Efficient Active Imitation Learning with Random Network Distillation
Emilien Biré
Anthony Kobanda
Ludovic Denoyer
Rémy Portelas
79
3
0
04 Nov 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao
Reid G. Simmons
H. Admoni
Aaditya Ramdas
Andrea Bajcsy
425
4
0
11 Oct 2024
Safe Reinforcement Learning Using Advantage-Based Intervention
Safe Reinforcement Learning Using Advantage-Based Intervention
Nolan Wagener
Byron Boots
Ching-An Cheng
117
54
0
16 Jun 2021
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Ajay Mandlekar
Danfei Xu
Roberto Martín-Martín
Yuke Zhu
Li Fei-Fei
Silvio Savarese
102
88
0
12 Dec 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Brijen Thananjeyan
Ashwin Balakrishna
Suraj Nair
Michael Luo
K. Srinivasan
M. Hwang
Joseph E. Gonzalez
Julian Ibarz
Chelsea Finn
Ken Goldberg
OffRL
80
230
0
29 Oct 2020
LaND: Learning to Navigate from Disengagements
LaND: Learning to Navigate from Disengagements
G. Kahn
Pieter Abbeel
Sergey Levine
50
52
0
09 Oct 2020
Interactive Imitation Learning in State-Space
Interactive Imitation Learning in State-Space
Snehal Jauhri
C. Celemin
Jens Kober
124
14
0
02 Aug 2020
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
110
101
0
19 Mar 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from
  Preferences
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown
Russell Coleman
R. Srinivasan
S. Niekum
BDL
106
102
0
21 Feb 2020
Asking Easy Questions: A User-Friendly Approach to Active Reward
  Learning
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Erdem Biyik
Malayandi Palan
Nicholas C. Landolfi
Dylan P. Losey
Dorsa Sadigh
43
116
0
10 Oct 2019
Deep Imitation Learning of Sequential Fabric Smoothing From an
  Algorithmic Supervisor
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Daniel Seita
Aditya Ganapathi
Ryan Hoque
M. Hwang
Edward Cen
...
Nawid Jamali
K. Yamane
Soshi Iba
John F. Canny
Ken Goldberg
43
120
0
23 Sep 2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Gokul Swamy
S. Reddy
Sergey Levine
Anca Dragan
64
43
0
22 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
50
48
0
09 Sep 2019
Understanding Teacher Gaze Patterns for Robot Learning
Understanding Teacher Gaze Patterns for Robot Learning
Akanksha Saran
Elaine Schaertl Short
A. Thomaz
S. Niekum
46
31
0
16 Jul 2019
On-Policy Robot Imitation Learning from a Converging Supervisor
On-Policy Robot Imitation Learning from a Converging Supervisor
Ashwin Balakrishna
Brijen Thananjeyan
Jonathan Lee
Felix Li
Arsh Zahed
Joseph E. Gonzalez
Ken Goldberg
65
17
0
08 Jul 2019
Learning Reward Functions by Integrating Human Demonstrations and
  Preferences
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Malayandi Palan
Nicholas C. Landolfi
Gleb Shevchuk
Dorsa Sadigh
57
126
0
21 Jun 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement
  Learning from Observations
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown
Wonjoon Goo
P. Nagarajan
S. Niekum
80
358
0
12 Apr 2019
Learning with Training Wheels: Speeding up Training with a Simple
  Controller for Deep Reinforcement Learning
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Linhai Xie
Sen Wang
Stefano Rosa
Andrew Markham
A. Trigoni
OffRL
75
80
0
12 Dec 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
90
848
0
16 Nov 2018
Reward learning from human preferences and demonstrations in Atari
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz
Jan Leike
Tobias Pohlen
G. Irving
Shane Legg
Dario Amodei
101
397
0
15 Nov 2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy
  Optimization in Navigation
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang
Bo Zhou
Ke Chen
Tingxiang Fan
Xi Zhang
Jiangyong Li
Hao Tian
Jia Pan
57
26
0
15 Nov 2018
HG-DAgger: Interactive Imitation Learning with Human Experts
HG-DAgger: Interactive Imitation Learning with Human Experts
Michael Kelly
Chelsea Sidrane
Katherine Driggs-Campbell
Mykel J. Kochenderfer
OffRL
232
231
0
05 Oct 2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda
Katherine Driggs-Campbell
Mykel J. Kochenderfer
174
119
0
22 Jul 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and
  Progress
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Saurabh Arora
Prashant Doshi
OffRL
90
612
0
18 Jun 2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from
  Behavior
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
S. Reddy
Anca Dragan
Sergey Levine
64
105
0
21 May 2018
Behavioral Cloning from Observation
Behavioral Cloning from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
OffRL
115
732
0
04 May 2018
Reward Learning from Narrated Demonstrations
Reward Learning from Narrated Demonstrations
H. Tung
Adam W. Harley
Liang-Kang Huang
Katerina Fragkiadaki
LM&RoSSL
68
29
0
27 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
191
5,218
0
26 Feb 2018
Shared Autonomy via Deep Reinforcement Learning
Shared Autonomy via Deep Reinforcement Learning
S. Reddy
Anca Dragan
Sergey Levine
59
182
0
06 Feb 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
129
757
0
30 Oct 2017
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,377
0
12 Jun 2017
DART: Noise Injection for Robust Imitation Learning
DART: Noise Injection for Robust Imitation Learning
Michael Laskey
Jonathan Lee
Roy Fox
Anca Dragan
Ken Goldberg
193
249
0
27 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
159
3,125
0
10 Jun 2016
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang
Kyunghyun Cho
166
215
0
20 May 2016
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
254
3,238
0
02 Nov 2010
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