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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"

50 / 230 papers shown
Quasi-Newton Trust Region Policy Optimization
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133
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0
26 Dec 2019
Zero-shot generalization using cascaded system-representations
Zero-shot generalization using cascaded system-representations
A. Malik
OffRL
136
2
0
11 Dec 2019
Deep symbolic regression: Recovering mathematical expressions from data
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Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradientsInternational Conference on Learning Representations (ICLR), 2019
Brenden K. Petersen
Mikel Landajuela
T. Nathan Mundhenk
Claudio Santiago
Soo K. Kim
Joanne T. Kim
478
397
0
10 Dec 2019
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and
  Conservative Policy Optimization
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2019
Qi Zhou
Houqiang Li
Jie Wang
182
17
0
28 Nov 2019
Attention-Privileged Reinforcement Learning
Attention-Privileged Reinforcement LearningConference on Robot Learning (CoRL), 2019
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
240
8
0
19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2019
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
307
140
0
17 Nov 2019
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via
  LIDAR Altimetry and Reinforcement Meta-Learning
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning
B. Gaudet
R. Linares
R. Furfaro
78
2
0
16 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
203
67
0
05 Nov 2019
Generalization in Reinforcement Learning with Selective Noise Injection
  and Information Bottleneck
Generalization in Reinforcement Learning with Selective Noise Injection and Information BottleneckNeural Information Processing Systems (NeurIPS), 2019
Maximilian Igl
K. Ciosek
Yingzhen Li
Sebastian Tschiatschek
Cheng Zhang
Sam Devlin
Katja Hofmann
OffRL
201
188
0
28 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Certified Adversarial Robustness for Deep Reinforcement LearningConference on Robot Learning (CoRL), 2019
Björn Lütjens
Michael Everett
Jonathan P. How
AAML
194
102
0
28 Oct 2019
Sample Complexity of Reinforcement Learning using Linearly Combined
  Model Ensembles
Sample Complexity of Reinforcement Learning using Linearly Combined Model EnsemblesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Aditya Modi
Nan Jiang
Ambuj Tewari
Satinder Singh
242
139
0
23 Oct 2019
Robust Visual Domain Randomization for Reinforcement Learning
Robust Visual Domain Randomization for Reinforcement Learning
Reda Bahi Slaoui
W. Clements
Jakob N. Foerster
Sébastien Toth
OOD
161
15
0
23 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning
Single Episode Policy Transfer in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OODOffRL
260
38
0
17 Oct 2019
Motion Generation Considering Situation with Conditional Generative
  Adversarial Networks for Throwing Robots
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots
Kyo Kutsuzawa
Hitoshi Kusano
A. Kume
Shoichiro Yamaguchi
GAN
91
4
0
08 Oct 2019
Visualizing Movement Control Optimization Landscapes
Visualizing Movement Control Optimization LandscapesIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Perttu Hämäläinen
Juuso Toikka
Amin Babadi
Karen Liu
133
8
0
17 Sep 2019
Generalization in Transfer Learning
Generalization in Transfer LearningRobotica (Cambridge. Print) (RCP), 2019
S. E. Ada
Emre Ugur
H. L. Akin
156
24
0
03 Sep 2019
Situational Fusion of Visual Representation for Visual Navigation
Situational Fusion of Visual Representation for Visual NavigationIEEE International Conference on Computer Vision (ICCV), 2019
Bokui (William) Shen
Danfei Xu
Yuke Zhu
Leonidas Guibas
Fei-Fei Li
Silvio Savarese
SSL
256
69
0
24 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological
  Heterogeneity
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
134
6
0
14 Aug 2019
DoorGym: A Scalable Door Opening Environment And Baseline Agent
DoorGym: A Scalable Door Opening Environment And Baseline Agent
Y. Urakami
Alec Hodgkinson
Casey Carlin
Randall Leu
Luca Rigazio
Pieter Abbeel
OffRL
297
61
0
05 Aug 2019
Wasserstein Robust Reinforcement Learning
Wasserstein Robust Reinforcement Learning
Mohammed Abdullah
Hang Ren
Haitham Bou-Ammar
Vladimir Milenkovic
Rui Luo
Mingtian Zhang
Jun Wang
416
86
0
30 Jul 2019
Environment Probing Interaction Policies
Environment Probing Interaction PoliciesInternational Conference on Learning Representations (ICLR), 2019
Wenxuan Zhou
Lerrel Pinto
Abhinav Gupta
176
74
0
26 Jul 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 TransferConference on Robot Learning (CoRL), 2019
Adam Allevato
Elaine Schaertl Short
Mitch Pryor
A. Thomaz
315
59
0
25 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement
  Learning
Assessing Transferability from Simulation to Reality for Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Fabio Muratore
Michael Gienger
Jan Peters
178
71
0
10 Jul 2019
Calibrated Model-Based Deep Reinforcement Learning
Calibrated Model-Based Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Ali Malik
Volodymyr Kuleshov
Jiaming Song
Danny Nemer
Harlan Seymour
Stefano Ermon
236
59
0
19 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy OptimizationNeural Information Processing Systems (NeurIPS), 2019
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
386
1,088
0
19 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model
Learning Powerful Policies by Using Consistent Dynamics Model
Shagun Sodhani
Anirudh Goyal
T. Deleu
Yoshua Bengio
Sergey Levine
Jian Tang
OffRL
96
5
0
11 Jun 2019
Proximal Reliability Optimization for Reinforcement Learning
Proximal Reliability Optimization for Reinforcement Learning
Narendra Patwardhan
Zequn Wang
80
0
0
03 Jun 2019
Learning Domain Randomization Distributions for Training Robust
  Locomotion Policies
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozifian
J. A. G. Higuera
David Meger
Gregory Dudek
OOD
180
8
0
02 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
136
7
0
02 Jun 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement
  Learning
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Caleb Chuck
Supawit Chockchowwat
S. Niekum
180
14
0
27 May 2019
Learning Robust Options by Conditional Value at Risk Optimization
Learning Robust Options by Conditional Value at Risk OptimizationNeural Information Processing Systems (NeurIPS), 2019
Takuya Hiraoka
Takahisa Imagawa
Tatsuya Mori
Takashi Onishi
Yoshimasa Tsuruoka
328
28
0
22 May 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement
  Learning
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Xinlei Pan
Weiyao Wang
Xiaoshuai Zhang
Yue Liu
Jinfeng Yi
Basel Alomair
MIACV
206
26
0
24 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
141
106
0
31 Mar 2019
Adaptive Variance for Changing Sparse-Reward Environments
Adaptive Variance for Changing Sparse-Reward Environments
Xingyu Lin
Pengsheng Guo
Carlos Florensa
David Held
177
6
0
15 Mar 2019
Uncertainty Aware Learning from Demonstrations in Multiple Contexts
  using Bayesian Neural Networks
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur
H. V. Hoof
J. A. G. Higuera
Doina Precup
David Meger
158
18
0
13 Mar 2019
Improved Robustness and Safety for Autonomous Vehicle Control with
  Adversarial Reinforcement Learning
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
Xiaobai Ma
Katherine Driggs-Campbell
Mykel J. Kochenderfer
AAML
117
51
0
08 Mar 2019
Sim-to-Real Transfer for Biped Locomotion
Sim-to-Real Transfer for Biped LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Wenhao Yu
Visak C. V. Kumar
Greg Turk
Chenxi Liu
220
131
0
04 Mar 2019
NoRML: No-Reward Meta Learning
NoRML: No-Reward Meta LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Jie Tan
Chelsea Finn
151
28
0
04 Mar 2019
Unifying Ensemble Methods for Q-learning via Social Choice Theory
Unifying Ensemble Methods for Q-learning via Social Choice Theory
R. Chourasia
Adish Singla
FedML
113
3
0
27 Feb 2019
Distributionally Robust Reinforcement Learning
Distributionally Robust Reinforcement Learning
E. Smirnova
Elvis Dohmatob
Jérémie Mary
OffRL
231
66
0
23 Feb 2019
Generalization through Simulation: Integrating Simulated and Real Data
  into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous FlightIEEE International Conference on Robotics and Automation (ICRA), 2019
Katie Kang
Suneel Belkhale
G. Kahn
Pieter Abbeel
Sergey Levine
146
137
0
11 Feb 2019
An Active Learning Framework for Efficient Robust Policy Search
An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami
N. Sudarsanam
Balaraman Ravindran
174
0
0
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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 Guibas
Silvio Savarese
Jitendra Malik
SSL
203
16
0
31 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for
  Model-based Control
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Xingxing Liang
Qi Wang
Yanghe Feng
Zhong Liu
Jincai Huang
121
5
0
24 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
343
477
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
103
38
0
07 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Hardware Conditioned Policies for Multi-Robot Transfer LearningNeural Information Processing Systems (NeurIPS), 2018
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
227
114
0
24 Nov 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via
  Model-Based Control
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey
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Sham Kakade
G. Haro
Igor Mordatch
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204
256
0
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Assessing Generalization in Deep Reinforcement Learning
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Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
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Basel Alomair
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273
260
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29 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep
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Arslan Munir
155
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