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Robust Adversarial Reinforcement Learning

Robust Adversarial Reinforcement Learning

8 March 2017
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
    OOD
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Papers citing "Robust Adversarial Reinforcement Learning"

33 / 183 papers shown
Title
Robust Reinforcement Learning via Adversarial training with Langevin
  Dynamics
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban
Yu-ting Huang
Ya-Ping Hsieh
Paul Rolland
C. Shi
V. Cevher
25
59
0
14 Feb 2020
Worst Cases Policy Gradients
Worst Cases Policy Gradients
Yichuan Tang
Jian Zhang
Ruslan Salakhutdinov
13
75
0
09 Nov 2019
Policy Optimization for $\mathcal{H}_2$ Linear Control with
  $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global
  Convergence
Policy Optimization for H2\mathcal{H}_2H2​ Linear Control with H∞\mathcal{H}_\inftyH∞​ Robustness Guarantee: Implicit Regularization and Global Convergence
Kaipeng Zhang
Bin Hu
Tamer Basar
24
119
0
21 Oct 2019
Towards Deployment of Robust AI Agents for Human-Machine Partnerships
Towards Deployment of Robust AI Agents for Human-Machine Partnerships
Ahana Ghosh
Sebastian Tschiatschek
Hamed Mahdavi
Adish Singla
24
9
0
05 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
92
0
28 Sep 2019
Wasserstein Robust Reinforcement Learning
Wasserstein Robust Reinforcement Learning
Mohammed Abdullah
Hang Ren
Haitham Bou-Ammar
Vladimir Milenkovic
Rui Luo
Mingtian Zhang
Jun Wang
32
75
0
30 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
Proximal Reliability Optimization for Reinforcement Learning
Proximal Reliability Optimization for Reinforcement Learning
Narendra Patwardhan
Zequn Wang
18
0
0
03 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
25
7
0
02 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum
  Linear Quadratic Games
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kaipeng Zhang
Zhuoran Yang
Tamer Basar
19
125
0
31 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
27
348
0
25 May 2019
Active Domain Randomization
Active Domain Randomization
Bhairav Mehta
Manfred Diaz
Florian Golemo
C. Pal
Liam Paull
21
256
0
09 Apr 2019
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
16
96
0
31 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
21
47
0
08 Mar 2019
Sim-to-Real Transfer for Biped Locomotion
Sim-to-Real Transfer for Biped Locomotion
Wenhao Yu
Visak C. V. Kumar
Greg Turk
C. Karen Liu
12
113
0
04 Mar 2019
Investigating Generalisation in Continuous Deep Reinforcement Learning
Investigating Generalisation in Continuous Deep Reinforcement Learning
Chenyang Zhao
Olivier Sigaud
F. Stulp
Timothy M. Hospedales
OffRL
14
48
0
19 Feb 2019
Action Robust Reinforcement Learning and Applications in Continuous
  Control
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
30
230
0
26 Jan 2019
Residual Reinforcement Learning for Robot Control
Residual Reinforcement Learning for Robot Control
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
13
409
0
07 Dec 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
C. Karen Liu
Greg Turk
32
80
0
12 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
20
635
0
03 Oct 2018
Learning Robust Manipulation Skills with Guided Policy Search via
  Generative Motor Reflexes
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes
Philipp Ennen
Pia Bresenitz
R. Vossen
F. Hees
14
8
0
15 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
15
1,853
0
01 Aug 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries
Online Robust Policy Learning in the Presence of Unknown Adversaries
Aaron J. Havens
Zhanhong Jiang
S. Sarkar
AAML
8
43
0
16 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven
  Environments
Variance Reduction for Reinforcement Learning in Input-Driven Environments
Hongzi Mao
S. Venkatakrishnan
Malte Schwarzkopf
Mohammad Alizadeh
OffRL
35
94
0
06 Jul 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals
Sequential Attacks on Agents for Long-Term Adversarial Goals
E. Tretschk
Seong Joon Oh
Mario Fritz
OnRL
321
47
1
31 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Fingerprint Policy Optimisation for Robust Reinforcement Learning
Supratik Paul
Michael A. Osborne
Shimon Whiteson
26
18
0
27 May 2018
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
1,337
0
18 Oct 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman
Nicholas Rhinehart
Wen Sun
Lerrel Pinto
M. Hebert
Byron Boots
Kris M. Kitani
J. Andrew Bagnell
AI4CE
21
42
0
25 Sep 2017
Reinforcement Learning under Model Mismatch
Reinforcement Learning under Model Mismatch
Aurko Roy
Huan Xu
Sebastian Pokutta
OOD
22
80
0
15 Jun 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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