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Preparing for the Unknown: Learning a Universal Policy with Online
  System Identification

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

8 February 2017
Wenhao Yu
Jie Tan
Chenxi Liu
Greg Turk
    OffRL
ArXivPDFHTML

Papers citing "Preparing for the Unknown: Learning a Universal Policy with Online System Identification"

44 / 94 papers shown
Title
Follow the Gradient: Crossing the Reality Gap using Differentiable
  Physics (RealityGrad)
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
J. Collins
Ross Brown
Jurgen Leitner
David Howard
AI4CE
32
4
0
10 Sep 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain
  Randomization Reinforcement Learning
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
Haoyi Niu
Jianming Hu
Zheyu Cui
Jianming Hu
36
16
0
25 Jul 2021
RMA: Rapid Motor Adaptation for Legged Robots
RMA: Rapid Motor Adaptation for Legged Robots
Ashish Kumar
Zipeng Fu
Deepak Pathak
Jitendra Malik
25
552
0
08 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Erdun Gao
Fan Feng
Chaochao Lu
Sara Magliacane
Kun Zhang
44
66
0
06 Jul 2021
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with
  a Centroidal Model
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
Zhaoming Xie
Xingye Da
Buck Babich
Animesh Garg
M. van de Panne
26
66
0
20 Apr 2021
Auto-Tuned Sim-to-Real Transfer
Auto-Tuned Sim-to-Real Transfer
Yuqing Du
Olivia Watkins
Trevor Darrell
Pieter Abbeel
Deepak Pathak
27
69
0
15 Apr 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of
  Robot Manipulation Policies
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
Timothy E. Lee
Jialiang Zhao
A. Sawhney
Siddharth Girdhar
Oliver Kroemer
CML
29
32
0
31 Mar 2021
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and
  Learned Latent Projections
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
Yashraj S. Narang
Balakumar Sundaralingam
Miles Macklin
Arsalan Mousavian
Dieter Fox
30
58
0
31 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
18
520
0
04 Feb 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via
  Adversarial Reinforcement Learning
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
Yifeng Jiang
Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
Sergey Levine
Jie Tan
GAN
26
54
0
15 Jan 2021
Learning Navigation Skills for Legged Robots with Learned Robot
  Embeddings
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings
Joanne Truong
Denis Yarats
Tianyu Li
Franziska Meier
Sonia Chernova
Dhruv Batra
Akshara Rai
23
20
0
24 Nov 2020
COCOI: Contact-aware Online Context Inference for Generalizable
  Non-planar Pushing
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
27
17
0
23 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
16
90
0
27 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and
  Transfer Learning
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed
Frederik Trauble
Anirudh Goyal
Alexander Neitz
Yoshua Bengio
Bernhard Schölkopf
M. Wuthrich
Stefan Bauer
CML
39
120
0
08 Oct 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
41
1
0
29 Jul 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
45
125
0
14 May 2020
A First Principles Approach for Data-Efficient System Identification of
  Spring-Rod Systems via Differentiable Physics Engines
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
Kun Wang
Mridul Aanjaneya
Kostas Bekris
PINN
12
21
0
28 Apr 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward
  Shaping for Robot Manipulation with Environment Uncertainty
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
34
13
0
05 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song
Yuxiang Yang
K. Choromanski
Ken Caluwaerts
Wenbo Gao
Chelsea Finn
Jie Tan
114
79
0
02 Mar 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
37
7
0
07 Feb 2020
Single Episode Policy Transfer in Reinforcement Learning
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OOD
OffRL
33
33
0
17 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization
Learning Fast Adaptation with Meta Strategy Optimization
Wenhao Yu
Jie Tan
Yunfei Bai
Erwin Coumans
Sehoon Ha
28
93
0
28 Sep 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
Assessing Transferability from Simulation to Reality for Reinforcement
  Learning
Assessing Transferability from Simulation to Reality for Reinforcement Learning
Fabio Muratore
Michael Gienger
Jan Peters
19
61
0
10 Jul 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman
  Operators
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators
Ian Abraham
Todd D. Murphey
24
160
0
12 Jun 2019
DensePhysNet: Learning Dense Physical Object Representations via
  Multi-step Dynamic Interactions
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu
Jiajun Wu
Andy Zeng
J. Tenenbaum
Shuran Song
AI4CE
15
111
0
10 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning
  Generalization
The Principle of Unchanged Optimality in Reinforcement Learning Generalization
A. Irpan
Xingyou Song
OffRL
33
7
0
02 Jun 2019
Sim-to-Real Transfer for Biped Locomotion
Sim-to-Real Transfer for Biped Locomotion
Wenhao Yu
Visak C. V. Kumar
Greg Turk
Chenxi Liu
12
114
0
04 Mar 2019
Robust and Adaptive Planning under Model Uncertainty
Robust and Adaptive Planning under Model Uncertainty
Apoorva Sharma
James Harrison
Matthew W. Tsao
Marco Pavone
11
15
0
09 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas J. Guibas
Silvio Savarese
Jitendra Malik
SSL
39
16
0
31 Dec 2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
46
444
0
18 Dec 2018
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for
  Autonomous Vehicles based on Robust Control
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
Zhuo Xu
Chen Tang
Masayoshi Tomizuka
OffRL
27
35
0
07 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
21
102
0
24 Nov 2018
Assessing Generalization in Deep Reinforcement Learning
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
D. Song
OffRL
18
233
0
29 Oct 2018
Policy Transfer with Strategy Optimization
Policy Transfer with Strategy Optimization
Wenhao Yu
Chenxi Liu
Greg Turk
38
80
0
12 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with
  Real World Experience
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Miles Macklin
J. Issac
Nathan D. Ratliff
Dieter Fox
10
500
0
12 Oct 2018
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical
  System Identification
Fast Motion Planning for High-DOF Robot Systems Using Hierarchical System Identification
Biao Jia
Zherong Pan
Tianyi Zhou
16
5
0
21 Sep 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
47
1,857
0
01 Aug 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
42
595
0
04 Jun 2018
Learning Awareness Models
Learning Awareness Models
Brandon Amos
Laurent Dinh
Serkan Cabi
Thomas Rothörl
Sergio Gomez Colmenarejo
Alistair Muldal
Tom Erez
Yuval Tassa
Nando de Freitas
Misha Denil
29
44
0
17 Apr 2018
Sim2Real View Invariant Visual Servoing by Recurrent Control
Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi
Alexander Toshev
Eric Jang
Sergey Levine
19
98
0
20 Dec 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy
  Search
Fast Model Identification via Physics Engines for Data-Efficient Policy Search
Shaojun Zhu
A. Kimmel
Kostas E. Bekris
Abdeslam Boularias
31
14
0
24 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
67
1,345
0
18 Oct 2017
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