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Adversary A3C for Robust Reinforcement Learning

Adversary A3C for Robust Reinforcement Learning

1 December 2019
Zhaoyuan Gu
Zhenzhong Jia
Howie Choset
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversary A3C for Robust Reinforcement Learning"

8 / 8 papers shown
Title
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Lucía Güitta-López
Jaime Boal
Álvaro J. López-López
115
6
0
24 Jan 2025
Deep-Attack over the Deep Reinforcement Learning
Deep-Attack over the Deep Reinforcement Learning
Yang Li
Quanbiao Pan
Min Zhang
AAML
55
13
0
02 May 2022
Robust Reinforcement Learning under model misspecification
Robust Reinforcement Learning under model misspecification
Lebin Yu
Jian Wang
Xudong Zhang
OOD
59
2
0
29 Mar 2021
Adversarial Skill Learning for Robust Manipulation
Adversarial Skill Learning for Robust Manipulation
Pingcheng Jian
Chao Yang
Di Guo
Huaping Liu
F. Sun
AAML
60
7
0
06 Nov 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on
  State Observations
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang
Hongge Chen
Chaowei Xiao
Yue Liu
Mingyan D. Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
176
275
0
19 Mar 2020
Online Robustness Training for Deep Reinforcement Learning
Online Robustness Training for Deep Reinforcement Learning
Marc Fischer
M. Mirman
Steven Stalder
Martin Vechev
OnRL
102
41
0
03 Nov 2019
Reinforcement Learning with Perturbed Rewards
Reinforcement Learning with Perturbed Rewards
Jingkang Wang
Yang Liu
Yue Liu
NoLa
93
131
0
02 Oct 2018
Security and Privacy Issues in Deep Learning
Security and Privacy Issues in Deep Learning
Ho Bae
Jaehee Jang
Dahuin Jung
Hyemi Jang
Heonseok Ha
Hyungyu Lee
Sungroh Yoon
SILMMIACV
143
79
0
31 Jul 2018
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