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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
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
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Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
521
145
0
13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
553
1,496
0
07 Jul 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative
  Grounding
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
Grace Zhang
Li Zhong
Youngwoon Lee
Joseph J. Lim
183
16
0
01 Jul 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2021
Xudong Wang
Long Lian
Stella X. Yu
OOD
170
49
0
07 Apr 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based
  Deep Reinforcement Learning
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Sebastian Curi
Ilija Bogunovic
Andreas Krause
161
18
0
18 Mar 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RLInternational Conference on Machine Learning (ICML), 2021
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
248
28
0
17 Mar 2021
Error-Aware Policy Learning: Zero-Shot Generalization in Partially
  Observable Dynamic Environments
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
Visak C. V. Kumar
Sehoon Ha
Karen Liu
134
1
0
13 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Maximum Entropy RL (Provably) Solves Some Robust RL ProblemsInternational Conference on Learning Representations (ICLR), 2021
Benjamin Eysenbach
Sergey Levine
OOD
279
220
0
10 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
262
81
0
07 Mar 2021
Sparse Attention Guided Dynamic Value Estimation for Single-Task
  Multi-Scene Reinforcement Learning
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
Jaskirat Singh
Liang Zheng
OffRL
125
3
0
14 Feb 2021
Machine Learning for Mechanical Ventilation Control
Machine Learning for Mechanical Ventilation ControlmedRxiv (medRxiv), 2021
Daniel Suo
Naman Agarwal
Wenhan Xia
Xinyi Chen
Udaya Ghai
...
J. LaChance
Tom Zadjel
Manuel Schottdorf
Daniel J. Cohen
Elad Hazan
OODAI4CE
420
14
0
12 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations
Multi-Task Reinforcement Learning with Context-based RepresentationsInternational Conference on Machine Learning (ICML), 2021
Shagun Sodhani
Amy Zhang
Joelle Pineau
368
227
0
11 Feb 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via
  Adversarial Reinforcement Learning
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2021
Yifeng Jiang
Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
Sergey Levine
Jie Tan
GAN
281
63
0
15 Jan 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region
  Approach
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region ApproachAAAI Conference on Artificial Intelligence (AAAI), 2020
James Queeney
I. Paschalidis
Christos G. Cassandras
165
10
0
19 Dec 2020
COCOI: Contact-aware Online Context Inference for Generalizable
  Non-planar Pushing
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar PushingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
183
18
0
23 Nov 2020
Double Meta-Learning for Data Efficient Policy Optimization in
  Non-Stationary Environments
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2020
Elahe Aghapour
Nora Ayanian
OffRL
116
4
0
21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric
  Model Uncertainty
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
A. Guha
Anuradha M. Annaswamy
109
12
0
20 Nov 2020
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Benchmarking Domain Randomisation for Visual Sim-to-Real TransferIEEE International Conference on Robotics and Automation (ICRA), 2020
Raghad Alghonaim
Edward Johns
373
25
0
13 Nov 2020
Bayes-Adaptive Deep Model-Based Policy Optimisation
Bayes-Adaptive Deep Model-Based Policy Optimisation
Tai Hoang
Ngo Anh Vien
BDL
223
2
0
29 Oct 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 RLNeural Information Processing Systems (NeurIPS), 2020
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
201
105
0
27 Oct 2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based
  Reinforcement Learning
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning
Xiyao Wang
Junge Zhang
Wenzhen Huang
Qiyue Yin
150
1
0
24 Oct 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
205
6
0
21 Sep 2020
GeneraLight: Improving Environment Generalization of Traffic Signal
  Control via Meta Reinforcement Learning
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement LearningInternational Conference on Information and Knowledge Management (CIKM), 2020
Chang-rui Liu
Huichu Zhang
Weinan Zhang
Guanjie Zheng
Yong Yu
86
51
0
17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRLLRM
667
790
0
16 Sep 2020
ADAIL: Adaptive Adversarial Imitation Learning
ADAIL: Adaptive Adversarial Imitation Learning
Balaraman Ravindran
Sergey Levine
103
8
0
23 Aug 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical
  Settings
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang
Brian Cheung
Chelsea Finn
Sergey Levine
Dinesh Jayaraman
115
60
0
15 Aug 2020
Robust Reinforcement Learning using Adversarial Populations
Robust Reinforcement Learning using Adversarial Populations
Eugene Vinitsky
Yuqing Du
Kanaad Parvate
Kathy Jang
Pieter Abbeel
Alexandre M. Bayen
AAML
240
86
0
04 Aug 2020
An Imitation from Observation Approach to Transfer Learning with
  Dynamics Mismatch
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddarth Desai
Ishan Durugkar
Haresh Karnan
Garrett A. Warnell
Josiah P. Hanna
Peter Stone
207
5
0
04 Aug 2020
Stochastic Grounded Action Transformation for Robot Learning in
  Simulation
Stochastic Grounded Action Transformation for Robot Learning in Simulation
Siddharth Desai
Haresh Karnan
Josiah P. Hanna
Garrett A. Warnell
Peter Stone
127
24
0
04 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance RejectionInternational Journal of Machine Learning and Cybernetics (IJMLC), 2020
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
188
1
0
29 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during DeploymentInternational Conference on Learning Representations (ICLR), 2020
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
253
182
0
08 Jul 2020
Bidirectional Model-based Policy Optimization
Bidirectional Model-based Policy Optimization
Hang Lai
Jian Shen
Weinan Zhang
Yong Yu
283
65
0
04 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning
Falsification-Based Robust Adversarial Reinforcement Learning
Xiao Wang
Saasha Nair
Matthias Althoff
AAML
209
21
0
01 Jul 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to
  Distribution Shifts?
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos
P. Tigas
R. McAllister
Nicholas Rhinehart
Sergey Levine
Y. Gal
330
213
0
26 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain
  Classifiers
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain ClassifiersInternational Conference on Learning Representations (ICLR), 2020
Benjamin Eysenbach
Swapnil Asawa
Shreyas Chaudhari
Sergey Levine
Ruslan Salakhutdinov
387
111
0
24 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin
G. Thomas
Guangwen Yang
Tengyu Ma
OOD
226
55
0
16 Jun 2020
Model-Based Generalization Under Parameter Uncertainty Using Path
  Integral Control
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control
Ian Abraham
Ankur Handa
Nathan D. Ratliff
Kendall Lowrey
Todd Murphey
Dieter Fox
225
44
0
04 Jun 2020
Meta-Model-Based Meta-Policy Optimization
Meta-Model-Based Meta-Policy OptimizationAsian Conference on Machine Learning (ACML), 2020
Takuya Hiraoka
Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
408
9
0
04 Jun 2020
Robust Reinforcement Learning with Wasserstein Constraint
Robust Reinforcement Learning with Wasserstein Constraint
Linfang Hou
Liang Pang
Xin Hong
Yanyan Lan
Zhiming Ma
D. Yin
142
29
0
01 Jun 2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR
  Control in Active Distribution Networks
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks
Haotian Liu
Wenchuan Wu
OffRL
130
115
0
20 May 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
367
152
0
14 May 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
142
136
0
16 Apr 2020
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
Baiming Chen
Xiang Chen
Qiong Wu
Liang-Sheng Li
AAML
213
116
0
14 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep
  Reinforcement Learning
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Michael Everett
Bjorn Lutjens
Jonathan P. How
AAML
389
51
0
11 Apr 2020
Data-efficient Domain Randomization with Bayesian Optimization
Data-efficient Domain Randomization with Bayesian OptimizationIEEE Robotics and Automation Letters (RA-L), 2020
Fabio Muratore
C. Eilers
Michael Gienger
Jan Peters
OOD
454
91
0
05 Mar 2020
Robust Market Making via Adversarial Reinforcement Learning
Robust Market Making via Adversarial Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Thomas Spooner
Rahul Savani
AAML
183
26
0
03 Mar 2020
Improving Generalization of Reinforcement Learning with Minimax
  Distributional Soft Actor-Critic
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
Yangang Ren
Jingliang Duan
Shengbo Eben Li
Yang Guan
Qi Sun
OffRL
121
34
0
13 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement
  Learning with Clairvoyant Experts
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant ExpertsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Gilwoo Lee
Brian Hou
Sanjiban Choudhury
S. Srinivasa
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200
8
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07 Feb 2020
Locally Private Distributed Reinforcement Learning
Locally Private Distributed Reinforcement Learning
Hajime Ono
Tsubasa Takahashi
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162
23
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Lyceum: An efficient and scalable ecosystem for robot learning
Lyceum: An efficient and scalable ecosystem for robot learningConference on Learning for Dynamics & Control (L4DC), 2020
Colin Summers
Kendall Lowrey
Aravind Rajeswaran
S. Srinivasa
E. Todorov
154
19
0
21 Jan 2020
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