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Efficient reinforcement learning control for continuum robots based on
  Inexplicit Prior Knowledge
v1v2 (latest)

Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge

26 February 2020
Junjia Liu
Jiaying Shou
Zhuang Fu
Hangfei Zhou
Rongli Xie
Jun Zhang
Jian Fei
Yanna Zhao
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge"

20 / 20 papers shown
Title
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
98
956
0
19 Jun 2019
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
88
845
0
16 Nov 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
81
155
0
06 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value
  Expansion
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman
Danijar Hafner
George Tucker
E. Brevdo
Honglak Lee
91
332
0
04 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
128
1,470
0
27 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
226
1,284
0
30 May 2018
Task Transfer by Preference-Based Cost Learning
Task Transfer by Preference-Based Cost Learning
Chi-Hung Hsu
Shu-Huan Chang
Da-Cheng Juan
Yu-Ting Chen
Shih-Chieh Chang
54
54
0
12 May 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement
  Learning
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Vladimir Feinberg
Alvin Wan
Ion Stoica
Michael I. Jordan
Joseph E. Gonzalez
Sergey Levine
OffRL
64
317
0
28 Feb 2018
Model-Ensemble Trust-Region Policy Optimization
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach
I. Clavera
Yan Duan
Aviv Tamar
Pieter Abbeel
84
452
0
28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
311
8,396
0
04 Jan 2018
Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
49
15
0
12 Dec 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
110
1,367
0
18 Oct 2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy
  Search for Robotics
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
56
45
0
20 Sep 2017
Value Prediction Network
Value Prediction Network
Junhyuk Oh
Satinder Singh
Honglak Lee
77
333
0
11 Jul 2017
Black-Box Data-efficient Policy Search for Robotics
Black-Box Data-efficient Policy Search for Robotics
Konstantinos Chatzilygeroudis
R. Rama
Rituraj Kaushik
Dorian Goepp
Vassilis Vassiliades
Jean-Baptiste Mouret
OffRL
65
115
0
21 Mar 2017
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian
  Neural Networks
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Stefan Depeweg
José Miguel Hernández-Lobato
Finale Doshi-Velez
Steffen Udluft
BDL
55
160
0
23 May 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
91
1,013
0
02 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
829
9,345
0
06 Jun 2015
Robots that can adapt like animals
Robots that can adapt like animals
Antoine Cully
Jeff Clune
Danesh Tarapore
Jean-Baptiste Mouret
87
1,037
0
13 Jul 2014
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
231
3,232
0
02 Nov 2010
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