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Active Perception in Adversarial Scenarios using Maximum Entropy Deep
  Reinforcement Learning
v1v2 (latest)

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning

14 February 2019
Macheng Shen
Jonathan P. How
    AAML
ArXiv (abs)PDFHTML

Papers citing "Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning"

3 / 3 papers shown
Title
Adversarial Training is Not Ready for Robot Learning
Adversarial Training is Not Ready for Robot Learning
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
100
34
0
15 Mar 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
380
1,952
0
12 Nov 2020
Controlling Information Capacity of Binary Neural Network
Controlling Information Capacity of Binary Neural Network
D. Ignatov
Andrey D. Ignatov
MQ
115
22
0
04 Aug 2020
1