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EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
v1v2v3v4 (latest)

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

International Conference on Learning Representations (ICLR), 2016
5 October 2016
Aravind Rajeswaran
Sarvjeet Ghotra
Balaraman Ravindran
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "EPOpt: Learning Robust Neural Network Policies Using Model Ensembles"

30 / 230 papers shown
Dexterous Manipulation with Deep Reinforcement Learning: Efficient,
  General, and Low-Cost
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu
Abhishek Gupta
Aravind Rajeswaran
Sergey Levine
Vikash Kumar
OffRL
183
219
0
14 Oct 2018
Policy Transfer with Strategy Optimization
Policy Transfer with Strategy Optimization
Wenhao Yu
Chenxi Liu
Greg Turk
234
84
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
Lukasz Wawrzyniak
J. Issac
Nathan D. Ratliff
Dieter Fox
492
559
0
12 Oct 2018
Reinforcement Learning with Perturbed Rewards
Reinforcement Learning with Perturbed Rewards
Jingkang Wang
Yang Liu
Yue Liu
NoLa
378
151
0
02 Oct 2018
Bayesian Policy Optimization for Model Uncertainty
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee
Brian Hou
Aditya Mandalika
Jeongseok Lee
Sanjiban Choudhury
S. Srinivasa
281
42
0
01 Oct 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
161
243
0
14 Sep 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic
  Tasks involving Complex Dynamics
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
J. Baar
Alan Sullivan
Radu Cordorel
Devesh K. Jha
Diego Romeres
D. Nikovski
340
60
0
13 Sep 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries
Online Robust Policy Learning in the Presence of Unknown AdversariesNeural Information Processing Systems (NeurIPS), 2018
Aaron J. Havens
Zhanhong Jiang
Soumik Sarkar
AAML
204
46
0
16 Jul 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 trialsIEEE Transactions on robotics (T-RO), 2018
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
434
168
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
GNNAI4CEPINNOCL
468
636
0
04 Jun 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Supratik Paul
Michael A. Osborne
Shimon Whiteson
224
18
0
27 May 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan
Tingnan Zhang
Erwin Coumans
Atil Iscen
Yunfei Bai
Danijar Hafner
Steven Bohez
Vincent Vanhoucke
367
898
0
27 Apr 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
462
556
0
08 Apr 2018
Reinforcement learning for non-prehensile manipulation: Transfer from
  simulation to physical system
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
Kendall Lowrey
S. Kolev
Jeremy Dao
Aravind Rajeswaran
E. Todorov
145
61
0
28 Mar 2018
Robust Deep Reinforcement Learning with Adversarial Attacks
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik
Zhenyi Tang
Shuijing Liu
Gautham Bommannan
Girish Chowdhary
OOD
176
347
0
11 Dec 2017
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
M. Raghu
A. Irpan
Jacob Andreas
Robert D. Kleinberg
Quoc V. Le
Jon M. Kleinberg
495
29
0
07 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
224
447
0
18 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
533
1,529
0
18 Oct 2017
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of
  Robots by Deep Reinforcement Learning
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
A. Kume
Eiichi Matsumoto
K. Takahashi
W. Ko
Jethro Tan
148
12
0
17 Oct 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning
  and Demonstrations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran
Vikash Kumar
Abhishek Gupta
Giulia Vezzani
John Schulman
E. Todorov
Sergey Levine
437
1,263
0
28 Sep 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep
  Robotic Grasping
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis
A. Irpan
Paul Wohlhart
Yunfei Bai
Matthew Kelcey
...
Julian Ibarz
P. Pastor
K. Konolige
Sergey Levine
Vincent Vanhoucke
OOD
334
698
0
22 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for
  Continuous Control
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam
Peter Henderson
Maziar Gomrokchi
Doina Precup
BDLOffRL
236
274
0
10 Aug 2017
Mutual Alignment Transfer Learning
Mutual Alignment Transfer Learning
Markus Wulfmeier
Ingmar Posner
Pieter Abbeel
262
63
0
25 Jul 2017
RAIL: Risk-Averse Imitation Learning
RAIL: Risk-Averse Imitation Learning
Anirban Santara
A. Naik
Balaraman Ravindran
Dipankar Das
Dheevatsa Mudigere
Sasikanth Avancha
Bharat Kaul
266
19
0
20 Jul 2017
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical
  Systems
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems
James Harrison
Animesh Garg
Boris Ivanovic
Yuke Zhu
Silvio Savarese
Li Fei-Fei
Marco Pavone
177
26
0
15 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
787
3,379
0
20 Mar 2017
Robust Adversarial Reinforcement Learning
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
310
968
0
08 Mar 2017
Towards Generalization and Simplicity in Continuous Control
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran
Kendall Lowrey
E. Todorov
Sham Kakade
OffRL
245
287
0
08 Mar 2017
Deep Robust Kalman Filter
Deep Robust Kalman Filter
Shirli Di-Castro Shashua
Shie Mannor
BDL
134
28
0
07 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online
  System Identification
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu
Jie Tan
Chenxi Liu
Greg Turk
OffRL
363
331
0
08 Feb 2017
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